StrangeLoopProgram,Sept12-14,2019HandsonwithDeepLearningandIoT

9/129:00am-11:00am,UnionStationIllinois

Let'sgetstartedwithDeepLearningandtheInternetofThings!We'lldohands-onexercises:you'lluseawebcamandaneuralnetworktorecognizeimages,aggregatedata,andrunreal-timeIoTanalytics.OurgoalistogetyouexcitedaboutIoTandDeepLearning,andtosetyouupforsuccesswithmakerprojectsinyourcommunityaftertheconference.

ShrutiSapre-MathWorks

ShrutiSapreisaSoftwareEngineeratMathWorksandworksintheMATLABLanguagearea.BeforethatshewasintheEngineeringDevelopmentGroupatMathWorkswheresheinteracteddirectlywithcustomerstoresolvetheirtechnicalquestionsonMATLAB.SheholdsaMaster'sdegreeinComputerSciencefromtheUniversityofSouthernCaliforniaandaBachelor'sdegreeinComputerEngineeringfromtheUniversityofPuneinIndia.Herinterestsoutsideofworkincludehikingandtraveling.

MadhumithaRaghu-MathWorks

MadhuisaSeniorSoftwareEngineer@MathWorks.SheworksfortheMATLABObjectSystemteam,whereherfocusinonaddingfeaturestotheMATLABlanguage(specifically,MATLABclasses).Madhuholdsamaster'sdegreeinBiomedicalEngineeringfromCarnegieMellonUniversityandbachelor'sdegreeinBiomedicalEngineeringfromSSNCollegeofEngineering(AffiliatedtoAnnaUniversity).

Sheisintriguedbycomputervisionandmachinelearning.Shehasworkedonafewimageprocessingprojects@SSN,CMUandMathWorks.Inherfreetime,shelearnsIndianclassicalmusicandperformsoccasionally.

ScalableMachineLearningPipelineswithMLflow

9/129:00am-11:00am,UnionStationJeffersonian

DevelopingMachineLearningProductsthatcanscalecomeswithnumerousbarriers.Fromgatheringdata,trainingamodel,anddeployingthemodel,thereisacomplexseriesofstepsneededtobedoneateachsteptoprovidemeaningfuloutput.WithMLflowwecanencapsulatethemachinelearningpipelineakintoaDockerimagetoreducethemanualprocessesneededtodeployamodel.

InthisworkshopwewilluseMLflowtobuildamachinelearningpipeline.WewillexplorehowMLflowallowsustocreatescalable,reproducible,andtrackablemachinelearningpipelinesthroughits3mainmodules.

MLflowTracking-TracksexperimentstorecordandcompareparametersandresultsMLflowProjects-PackagesMLcodeinareusable,reproducibleformtoshareortransfertoproductionMLflowModels-ManagesanddeploysmodelsfromavarietyofMLlibrariestoavarietyofmodelservingandinferenceplatforms.

ThisIsanintermediateworkshopthatwillrequireknowledgeofusingpythonandnavigatingaLinuxterminal.Nomachinelearningexperienceisnecessary.

BanjoObayomi@banjtheman-TwoSixLabs

BanjoisaSeniorResearchEngineeratTwoSixLabs,wherehedevelopsplatformsolutionsforproductizingvariousresearchedbasedprojects.

BanjoreceivedhisB.SinComputerSciencefromUniversityofMarylandCollegeParkin2011,andhisM.SinComputerSciencefromLoyolaUniversityMarylandin2015.BanjoalsoisanAWSCertifiedSolutionsArchitect-AssociateandAWSCertifiedBigDataEngineer.

AnIntrotoProgrammingSoundWithPureData(Pd)

9/129:00am-11:00am,UnionStationMissouriPacific

PureData(Pd)isafree/libredataflowlanguageinsideavisualprogrammingandperformanceenvironmentwithanemphasisonaudio.Usingapatch-cablestylemetaphor(similartoclassicanalogsynthesizers),PureDataprogramsarebuilttocreatecomputermusic,exploresoundart/design,andexperimentwithaudiosynthesistechniques.

Inthishands-onintroductoryworkshop,wewillcoverthefoundationsofprogramminginPdandprovideaverybriefprimeronaudiosynthesistechniques.AttendeeswilllearnhowtocreatePdpatcheswithcommon,first-principlesbuildingblocksandhowtowiretheseobjectstogethertocreateandcontrolsoundsynthesizers.

Somerudimentaryprogrammingexperienceorexposuretosignaltheoryishelpful,butnotrequired.AttendeesshouldbringheadphoneswiththeirLinux,Mac,orWindowslaptop,ideallywithPureData"vanilla"installed.

JasonPlumb@breedx5-gh:breedx2-NewRelic

JasonPlumbisahacker,artist,experimenter,polyglotprogrammer,anddadfromPortland,OR.HewastheDorkbotPDXcommunityoverlordforadecadeandhashelpedtocreatepermanentsoundartinstallationsatawell-knownsoftwarecompany.Hecurrentlyworkswithhigh-volumemetadataatNewRelicandcollaborateswithFutel(toinstallfreepublicpayphones)andtheChurchofRobotron(tosavehumanityfromtheinevitable2084robot/AIapocalypse).

OpenSourceisforEveryone

9/129:00am-11:00am,UnionStationNewYork

We'retoldthatcontributingtoopensourceisgoodforourcareersandagreatwaytolevelupourskills.Let'sfacefacts.Gettingintoopensourceisintimidating,oftenunfriendly,andhardtofindaplacetogetstarted.Cometothisworkshopandlearnthebasicsofcontributingtoopensource.We'lldiscusthingslikeclaimingissues,writinggoodcommitmessages,andfindinggreatprojectstocontributeto.Don'tforgetyourlaptopbecauseeveryattendeewillleavewithapullrequestonanopensourceprojectbeingusedinproductionbyorganizationslikewomen'sshelters,diaperbanks,andotherorganizationsdoingmeaningfulwork!Comelearnnewskillsandmakeadifferenceintheworld!

SeanMarcia@seanmarcia-gh:seanmarcia-RubyforGood

Seanabsolutelylovesthetechcommunity.Heisatirelessdo-gooderwhocreatedandorganizesRubyforGoodandspendshisdayjobworkingtomakegovernmentmoresane.Heiscommittedtomakingtheworldabetterplace.Whennotprogramminghelovesbeingoutdoors(especiallynationalparks),drinkingcoffeefromPortland,eatingdriedseaweedandplayingwithdogs.

ServerlessArchitecturebyExample

9/1212:30pm-2:30pm,UnionStationIllinois

Createaserverlessdistributedprogrammingcompetitionsystemusingavarietyoftechnologies:functions-as-a-service,messagequeues,platform-as-a-service,storage-as-a-service,NoSQLdatabase,event-drivensoftware,andauthentication-as-a-service.ThecompletedsystemisavailableonGithubforattendeestoexamineandmodifyafterseeingthetalk,iftheydesire.ThesystemiswritteninPythonusingGoogleCloudPlatformservices,buttheconceptscanbeadaptedtootherlanguagesandcloudproviders.

Thissolutionconsistsoffourmaincomponents,looselycoupledviaHTTPrequests,messagequeues,andsystemeventtriggers.

ContestparticipantswriteanddeploytheirsolutionsusingCloudFunctionsrespondingtoHTTPrequests.Contestjudgescreatesoftwaretotestthesolutions,alsousingCloudFunctions,buttriggeredbyamessagequeuesothatmultipledifferenttestrunsoneachsubmissioncanrunsimultaneously.JudgingresultsaresavedtoaCloudStorageobject,whichwilltriggeranotherCloudFunctiontoupdateaFirestoreNoSQLdatabasewithresults.AwebapplicationthatletsparticipantssubmittheURLsoftheirsolutionsandviewjudgingresultsisdeployedusingAppEngine,andaccesstoitiscontrolledviaIdentityAwareProxy.

Thetalkstartswiththemotivationforthesystem,whichwastoprovideasimplewayforstudentstosubmitsolutionstoprogrammingcontestproblemsandshowshowthearchitectureevolvedfromthere.

CharlesEngelke@charlesengelke-gh:engelke-Google,LLC

CharlesEngelkeisaSeniorDeveloperProgramsEngineeratGoogleCloud,focusedonapplicationdevelopmentforthecloud.PriortocomingtoGoogle,hewastheCTOofInfoTech,Inc.,whereheledtheefforttobringsealedbiddingtotheInternetandledteamsthatbuildseveralothernative,web,andmobileapplications.

LaurieWhite@lannie29-gh:annie29-Google,LLC

LaurieWhiteisSeniorDeveloperAdvocateatGoogleCloud,focusingonhelpinghighereducationusethecloud,andProfessorEmeritusofComputerScienceatMercerUniversity.Duringhercareerasaprofessorshetaughtawidevarietyofsubjectsincomputerscience,rangingfromintroductoryprogrammingtoprogramminglanguages,softwareengineering,compilerdesign,discretemathematics,andtheoryofcomputation.

ManagingmemorywithRust:dispellingtheFUD

9/1212:30pm-2:30pm,UnionStationJeffersonian

RustisaniftyprogramminglanguagewhichoffersC++-levelperformancewiththesafetyoflanguageslikeJavaandPython.Rustachievesthisbalancingactwithitsunique"borrow-checker",whichverifiesmemorymanagementsafetyatcompiletime.WhiletheRustcommunityandecosystemaregrowingquiterapidly,unfortunately,thereisagreatdealofFUD(Fear,Uncertainty,andDoubt)aroundtheborrowchecker,andmanypeoplesimplydon'ttryRustasaresult.

Inthisworkshop,attendeeswilldevelopacomfortableunderstandingofhowmemorymanagementworksinRust,theroleoftheborrowchecker,andhowtotakeadvantageofRust'scapabilitiestowriteextremelyfastcodethatisimmunetosegfaultsandbufferoverruns.Attendeeswilllearnthat,despitetheFUD,Rust'smemorymanagementisnotmanual.Theywillalsolearnthat,despitetheFUD,theborrowcheckerisyourfriend.

Theworkshopisstructuredasasequenceofshortlessonsalternatingwithhands-onexercises.Bringpenorpencilandalaptopwithanetworkconnection.NopriorRustexperienceisassumed.

JeremyBrown-gh:jhbrown94-Selfemployed

JeremyBrownreceivedhisPhDincomputerscienceandelectricalengineeringfromMITin2002,afterwhichheworkedatBluefinRoboticsandITASoftwarebeforeco-foundingJaybridgeRoboticsin2008.After8yearsofmakingtractorsandminingtrucksintoautonomousvehicles,theJaybridgeteammovedenmassetoToyotaResearchInstitutein2016.JeremyremainedatTRIuntil2018.Heispresentlyself-employedasanentrepreneur-on-break,whichisafancywaytosaydeliberatelyunemployed.Heispresentlyworkingtosharpenhistechnicalskills(whichhadbeenlightlydulledbyyearsasafull-timemanager),todevelopnewbusinessplans,and(soon)toseekco-foundersforhisnextstartup.JeremylivesinSomerville,Massachusetts.HeismarriedtoProf.DanieleLantagne.Theyareraisingtwosmallchildrentogether.

DayofDatomicCloud

9/1212:30pm-2:30pm,UnionStationMissouriPacific

DatomicCloudÂisatransactionaldatabasewithaflexibledatamodel,elasticscaling,andrichqueries.Datomicletsyoufocusonyourapplicationlogic,writingordinaryClojurefunctionswithin-memoryaccesstoyourdata.Datomichandlesthedeploymentandexecutiondetails.

Inthis4hrworkshop,youwilllearnabout:

Datomic'sinformationmodel,schema,ACIDtransactions,anddatalogquerylanguageIonsÂtodeployentireClojureapplicationstoDatomicImplementingwebserviceswithIons


MarshallThompson@GlassOnion9-gh:glassonion-Cognitect

I'mamulti-disciplinaryscientistandsoftwareengineerinterestedinapplyingcutting-edgesoftwarepracticestogenomic-scalebiologicalproblems.Icaredeeplyaboutscienceandengineeringeducationandgreatlyenjoyteaching.Ialsolikemotorcycles.

TechnicalZineWritingWorkshop

9/1212:30pm-2:30pm,UnionStationNewYork

Thisworkshopwillbeanintroductiontotechnicalzinemakingandwriting.Participantswillexplorehowtoexplaintechnicaltopicsviadrawings,comics,diagrams,andstories,withparticularfocusonmakingcomplextopicsunderstandableandaccessible.Attheendoftheworkshop,participantswillhavetechnicalzinesthattheycanexchangewitheachotherandotherconferenceattendees.

AmyWibowo@sailorhg-gh:sailorhg-BubblesortZines

isputtingthe❀soft❀insoftwareengineeringbywritingzinesaboutalgorithms,encryption,anddatastructureswithlotsofillustrations,buildingpastelhardware,anddesigningtech-themedaccessoriesandapparelathercompanyBubblesortZines.

CodeThat(Practically)WritesItselfWithTypeScript

9/123:00pm-5:00pm,UnionStationIllinois

JavaScriptisapowerfullanguagethat'sflexible-toafault.TypeScriptaddsalayerofstatictypingovermodernJavaScriptthatmakescodestronger,morerobust,andeasiertowrite.Inthisworkshop,we'regoingtodiveintoTypeScriptfundamentals,type-firstdevelopmentpatterns,andahandfulofmagictricks!

Requirements:YourownWindowsorMaclaptop.DownloadrequirementsandsetupinstructionscanbefoundintheREADMEathttps://github.com/atomicobject/ts-workshop.

RachaelMcQuater@excitedNerd-gh:rachaelmcq-AtomicObject

DrewColthorpisaprincipalconsultantandRachaelMcQuaterisadeveloperatAtomicObject.DrewhasbeenseekingoutbetterwaystowriteJavaScriptfor20years,andRachaelisjustgettingstartedwiththesame.We'rebothreallyexcitedaboutthepowerandbeautyofsoftwarethatcloselymodelscomplexreal-worldproblemdomains.

DrewColthorp@dcolthorp-gh:dcolthorp-AtomicObject

DrewColthorpisaprincipalconsultantandRachaelMcQuaterisadeveloperatAtomicObject.DrewhasbeenseekingoutbetterwaystowriteJavaScriptfor20years,andRachaelisjustgettingstartedwiththesame.We'rebothreallyexcitedaboutthepowerandbeautyofsoftwarethatcloselymodelscomplexreal-worldproblemdomains.

HowtoLeverageYourOwnTalentbyMentoring

9/123:00pm-5:00pm,UnionStationJeffersonian

Youareatop-notchdeveloper.Highlysoughtafterandveryeffective.Howcanyouleverageyourtalentandinfluencewithouttravelingdownthemanagementpath?BecomeaMentor.Thisworkshopwillcoverthe5essentialskillsyou'llneedinordertomentor:MasteringFlow,GivingFeedbackandGuidance,MentoringwithMultipleIntelligences,SettingClearGoalsandIndicators,andBuildingConfidence.Wewillusehands-onjugglingexercisesasaplaygroundtopracticetheseskills.

DougBradbury@dougbradbury-gh:dougbradbury-8thLight

Dougwasanearlycontributorto8thLightwhenhejoinedin2007.DoughelpedstarttheChicagoofficein2010andhasperformedalmosteveryroleasacrafterinthattime.As8thLighthasgrown,Doughasdefinedandthenservedinmanynewroles.IncludingDirectorofConsulting,DirectorofStudio,ManagingDirector,andCOO.Dougisnowresponsibleforthementoringprogramat8thLight.DougearnedhisBachelorofSciencewithHonorsinComputerEngineeringfromtheUniversityofIllinoisin2002.Hehasmentoredmorethan40of8thLight'ssoftwarecraftersandhasgivenseveralpresentationsonapprenticeshipsinsoftware,acceptancetesting,Agilesoftware,andmentoring.HeauthoredtheManifestoforSoftwareCraftsmanshipandisapart-ownerof8thLight.

CloudNativeKubernetesforNode.jsDevelopers

9/123:00pm-5:00pm,UnionStationNewYork

Ascloudservicesanddeploymentplatformshavecometobearmoreandmoreresponsibilityforthe"Enterprise"featuresofmodernapplicationdevelopment,Node.jsbecomesmoreappealingfordeveloperswhowanttotakeadvantageofitslightweight,quickstartuptime,developerproductivityandoverallhappiness.Withcloudnativeapplicationdevelopmentpatterns,supportedbyaKubernetesdeploymentplatform,Node.jsisaformidableenterpriseplayer.

Butcloudnativeapplicationdevelopmentcanseemdaunting.HowdoyoubothwriteanapplicationandalsodealwithDevOpsautomation,servicediscovery,observability,imageimmutability,scalability,failoverandalloftheothercloudnativeandenterpriseideals?

It'salottokeeptrackof.It'salottodo.It'sScary!

Butitdoesn'thavetobe.InthistalkIwillshowyouhowtomakeKubernetesNode.jsapplicationdeploymentsimpleandstraightforward.Takeajourneywithmetothecloud.Bythetimewe'redone,attendeeswillhavecreatedaNode.jswebappanddeployedittoaKubernetescluster.

LanceBall@lanceball-gh:lance-RedHat

LanceisaPrincipalSoftwareEngineeratRedHat,leadingtheNode.jsengineeringeffortswithinRedHatMiddleware.Heisanactiveopensourcecontributor,anauthorofseveralNPMmodules,andacorecommitterfortheNode.jsproject.InadditiontoNode.js,you'llfindhiscontributionsinmanyotherwell-knownopensourceprojectsincludingWildflySwarm,Vert.xandTorquebox.

StrangeLoopParty

9/127:00pm-9:30pm,CityMuseum

We'retakingovertheCityMuseumfortheStrangeLoopparty!TheCityMuseumisawarehousepackedfullofexplorableartmadefromrepurposedmaterials.Themuseumisfractalinnatureanddifficulttodescribe.Itfeaturesallmannerofslides,tunnels,and

beautifulweirdness.Theyhaveastrict"NoMaps!"policy-it'suptoyoutofindyourownpath.

Shuttles

Shuttleswillbeavailablecontinuouslygoingto/fromCityMuseumtoUnionStation(20thStreet),HiltonBallpark,andPearTreeInn.

Howtoteachprogramming(andotherthings)?

9/139:10am-10:00am,StifelTheatreTheater

Everyoneshouldlearnprogramming,right?Yes!Buthow...Shouldweallowchildrentoexploreandlearnaboutsyntaxontheirown,orshouldwedrillprogramminglikewerotememorizethetableofmultiplicationorGermangrammaticalcases?Felienne'stalkoutlinesthishistoryofprogrammingeducationanddidacticsbeliefsinprogrammingthatleadtotheprevalenceofexploratoryformsofteaching,startingwithPapert'sLOGO.Shewillthenexploreprogrammingeducationinrelationtomathematicsandlanguageeducationandexplorehowrotelearningcouldlooklikeforprogramming.Feliennewilldiscussherownresearchintomisconceptionsandcodephonologyasmeanstoteachprogrammingmoreeffectively.

FelienneHermans@Felienne-gh:Felienne-LeidenUniversity

FelienneisassociateprofessorattheLeidenInstituteofAdvancedComputerScienceatLeidenUniversity,wheresheheadstheProgrammingEducationResearchLab(PERL).Felienne'sworkfocusesonthequestionhowtobestteachprogrammingtokidsandstudents,investigatingmisconceptions,didacticstrategiesandprogrammingenvironments.Felienneisaco-editoroftheACMjournalTransactionsonComputingEducation,andahostattheIEEEpodcastSERadio,oneofthemostpopularsoftwareengineeringpodcastsontheweb.ShewritesamonthlycolumnforDutchITmagazineAGConnectandsherantheJoyofCodingconferencefor6years.Whensheisnotcoding,bloggingorteaching,sheisprobablyknitting,runningorplayinga(board)game.

Felienneblogsatfelienne.com

TypingtheUntyped:SoundnessinGradualTypeSystems

9/1310:20am-11:00am,StifelTheatreEncore

Recentyearshaveseenanexplosionofgradualtypesystemsandsupersetlanguagesthataddtypestopreviouslyuntypedlanguages:TypeScript&FlowforJavascript,MyPyandPyreforPython,HackandPHP7forPHP,SorbetforRuby,andmanymore.Implementingthesetypesystemsinvolvesmakingtradeoffsbetweensoundness(catchingasmanyerrorsaspossible)andcompleteness(notrejectingvalidprograms)thatfundamentallyimpacttheusabilityandusefulnessofthetypesystem.

Inthistalk,I'llexamineafewofthesetradeoffsthatapplyacrossmanylanguages:typerefinementandrefinementinvalidation,arrayout-of-bounderrors,andvariance(particularlyarraycovariance).We'lllookatwhattradeoffsagradualtypesystemneedstomake,whattheadvantagesaretodifferentapproaches,andcomparehowvariousgradualtypesystemsandmoretraditionalstatictypesystemshandlethesetradeoffs.

BenWeissmann-gh:benweissmann-Tulip

Ben"Fuzzy"WeissmannisasoftwareengineeratTulip,wherehewasthefirstemployeeandleadsarchitectureonthePlatformteam,creatingaplatformformanufacturerstobuildappsthatstreamlinetheiroperations.Hisfocusisonarchitecture,backendsystems,anddevelopertooling.Inthepast,he'sworkedatTwitter,TripAdvisor,andtheMITMediaLab.

Recreatingforgottenprogramminglanguages,forart!

9/1310:20am-11:00am,StifelTheatreOvation

Theearlybeginningsofcomputergraphicsinthe1960ssawthebirthofanumberprogramminglanguagesthatwerecreatedspecificallyformakinganimationsandgraphics.Almostallofthemarenowobsoleteandmostlyforgotten.However,backthen,manyoftheselanguagescutting-edgeandmadepossiblethecompletelynewfieldofmakingartwithcomputers.AprolificexampleofthiswasBellLabs'BEFLIX,alanguagecreatedtomakeanimationsusingamicrofilmplotter.

Survivingdocumentationoftheselanguagesarescarce,muchlesstheactualcompilersorinterpretersthemselves.Theyweresimplelanguages,yettheywereusedtocreatesomeofthemostcomplexandcompellinggraphicsevenbytoday'sstandard.Inordertounderstandhowtheyweremade,aswellasthelimitationsofcomputergraphicsthatartistsandprogrammerswereworkingwith,IattemptedtorecreateaninterpreterforART1.ART1wasunique,itwasthefirsteverdocumentedprogramminglanguagedesignedspecificallyforthosenewtoprogrammingtocreateart.Inthistalkwe'llseehowIhuntedforsurvivingdocumentation,builttheinterpreterandfinallyusedittoreverseengineersomeoftheearliesticoniccomputerartpieces.Expecttoseelotsofvintagecomputerart!

SherMinnChong@piratefsh-gh:piratefsh

SherMinnisawebplatformengineerbydayandacasualgenerativeartistatnight.Someofherfavoritethingsarewebtech,drawingcomics,andteachingprogramming.

DiveintoStreamswithBrooklin

9/1310:20am-11:00am,StifelTheatrePeabodyLounge

AlthoughLinkedIndatacontinuestogrowrapidlyovertheyears,scalinguptohandletheincreasingdatavolumehasnotbeentheonlychallengeinstreamingdatainnearreal-time.SupportingtheproliferationofnewdatasystemshasbecomeyetanotherhugeendeavorfordatastreaminginfrastructureatLinkedIn.Buildingseparate,specializedsolutionstomovedataacrossheterogeneoussystemsisnotsustainable,asitslowsdowndevelopmentandmakestheinfrastructureunmanageable.Thiscalledforacentralized,managed,andextensiblesolutionthatcancontinuouslydeliverdatatonearlineapplications.

WebuiltBrooklinasamanageddatastreamingservicethatsupportsmultiplepluggablesourcesanddestinations,whichcanbedatastoresormessagingsystems.Since2016,BrooklinhasbeenrunninginproductionasacriticalpieceofLinkedIn'sstreaminginfrastructure,supportingavarietyofdatamovementusecases,suchaschangedatacapture(CDC)anddatapropagationbetweendifferentsystemsandenvironments.WehavealsoleveragedBrooklinformirroringKafkadata,replacingKafkaMirrorMakeratLinkedIn.Inthistalk,wewilldivedeeperintoBrooklin'sarchitectureandusecases,aswellasourfutureplans.

CeliaKung-LinkedIn

CeliamanagesthedatapipelinesteamatLinkedIn.Previously,shewastheleadengineerforbuildingOraclechange-datacapturesupportforBrooklin,aswellasanewKafkamirroringsolutionthathasfullyreplacedKafkaMirrorMakeratLinkedIn.

HowtoFixAI:SolutionstoMLBias(AndWhyTheyDon'tMatter)

9/1310:20am-11:00am,StifelTheatrePremier

BiasinmachinelearningisaProblem.Thisiscommonknowledgeformanyofusnow,andyetouralgorithmscontinuetooperateunfairlyintherealworld,perpetuatingstructuralinequalityalonglinesofclassandcolor.Afterall,"bettertrainingdata"isnotsoeasytogetourhandson,right?

Inthistalk,Iarguethatitistimeforustobeginbuildingalgorithmsthataredesignedtoberesilienttobiaseddata.BuildingonabasicintroductiontoMLconcepts,Ipresentanin-depth,intuitiveexplanationofseveraldeeplearningtechniquesthatcombatunderlyingbiasindata,andusethesemodelstoexplorewhat"algorithmicfairness"reallymeansinmeasurableterms.Finally,divingintoafewcasestudiesofrealworldsystems,Isuggestthatevenperfect"fairness"isnotnecessarilythefairy-taleendingweliketothinkitis.BlindlyoptimizingforitmaystillmisstherealproblembehindAIbias,andtocometoarealsolutionwemayjusthavetoreframetheproblemitself.

JoyceXu@joycex99-gh:joycex99-SidewalkLabs

JoyceisanAI/MLengineer(tinkerer?)whomightbealittletooexcitedabouthistory,urbanstudies,andbingingHBOtobeaproductivetechworker.SheiscurrentlyatSidewalkLabs,whereshe'sthinkingabouthowtoengineerprivacy-preservingMLsolutionsinurbanmobilityandsustainability.Previously,sheconductedresearchatDeepMindandtheStanfordNLPGroup,whereherpursuitscenteredaroundmulti-agentreinforcementlearningandnaturallanguagegenerationrespectively.HavingbegunherjourneyinAIself-taught,sheisastrongadvocateofaccessibilityinresearchandtooling:she'shelpedbuildanopen-sourceMLframeworkforfunctionalprogramminginClojure,andblogsregularlyonAIresearchandfundamentals.Whenshe'snotbusydaydreamingaboutbecomingaDJ,shesometimeslooksforwardtofinishingheruniversitystudiesatStanford.

BehindTheNewYorkTimesCrossword

9/1310:20am-11:00am,StifelTheatreTheater

TheNewYorkTimesCrosswordisseriousbusiness.Operatedlikeastartupwithinthecompany,theNYTGamesTeamworkstirelesslytokeepour500,000+subscribershappilysolvingwhiledrivingsignificantrevenuetosupportgreatjournalism.Withserioussolverscomestheneedforserioustechnology.SincerewritingtheentireplatforminGoandmigratingittoaserverlessecosystem,theGamesTeamhasdriveninnovationatTheTimeswiththemostcuttingedgetoolsandinfrastructure.Takeabehind-the-sceneslookofhowapuzzlemakesitfromaconstructortooursolversaroundtheworldandthetechchallengeswe'vehadtoovercometoenableit.Seehowwe'vebuiltourgamesplatformtohandleimmensetrafficspikeswhennewpuzzlesarereleased,allowustofearlesslytestinandpushchangestoproduction,andquicklylaunchnewgamesforoursubscriberstopuzzleover.

DarrenMcCleary@darren_out-TheNewYorkTimes

I'maSeniorSoftwareEngineeratTheNewYorkTimes.I'vebeenamemberoftheNYTGamesTeamsince2016.I'mamemberofthe

Times'ArchitectureReviewBoardwhereIguidetechnologydecisionsandpracticefortheentirecompany.

MakingsofaModernACIDCompliantDistributedDatabase

9/1310:20am-11:00am,UnionStationGrandF

There'splentyofdistributeddatabasesonthemarketthesedays.There'sonlyafewthatarebothdistributedandprovideACIDguarantees.Inthistalk,I'llbesheddinglightonsomeofthemoreinterestingaspectsoftheinternaldesignofFaunaDB,onesuchdatabasethatIalsohappentoworkon.We'lllookatCalvin,theprotocolthatensuresdeterministictransactionapplicationinadistributedenvironmentwithverylittlecoordination(muchlessthantwo-orthree-phasecommitprotocols.)We'llseehowwecanscaleCalvinforthroughput.We'lllookathowyoucanmakeadistributedtransactionsystemindependentofclocks.(It'snevergoodtohaveadistributedsystemdependonclocksforcorrectness,yetmanydatabasesdo.Thisonedoesnot.)We'lltalkabouthowyoucantakeacorrectlyoperatingdatabaseandmakeitfasttoowithjudiciousapplicationofcontroltheory:intowhatpointsofthesystemcanyouplugineitheraPIDcontrolleroraKálmánfiltertofurtherreducelatencies.Welearned(andarestilllearning)alotwhileimplementingFaunaDB,andinthistalk,wewanttosharesomeofwhatwelearnedsofarwithyou!

AttilaSzegedi@asz-gh:szegedi-FaunaInc.

AttilaSzegediismostnotedasanalumnusofbothTwitterandOracle'sJavaLangToolsgroup.AtTwitter,heworkedonTwitter'slarge-scaleinfrastructure'sJVMperformanceproblems.AtOracle,hewasdrivingthedevelopmentofthejdk.dynalinkpackageandwaspartoftheteamthatcreatedtheNashornJavaScriptruntime.Outsideofpaidwork,AttilausedtobeamajorcontributortoopensourceprojectssuchasApacheFreeMarkerandMozillaRhino.Somehoweveryprojecthetakesuponendsupbeingeitheradistributedsystemoralanguageruntime.WithhimcurrentlyworkingonmanyaspectsofFaunaDB,hemight'vefinallystumbledacrossaprojectthatisbothofthesethingsatthesametime.AttilaisaJavaChampion,atwo-timeJavaOneRockStar,andthiswillbehisthirdtimehavingthehonorofspeakingatStrangeLoop.

BetterSpotifyPlayliststhroughDiscreteOptimization

9/1310:20am-11:00am,UnionStationRegencyAB

IamaSpotifyaddict,formerDJ,amateurmusician,andprofessionalsoftwareengineer.Itakespecialprideinmakingexpertly-curatedplaylistsformyselfandfriends.Ittakesalotoftimeandenergytosettherightmoodandtone,andevenmoretimeandenergytotransitionsmoothlyfromonesongtoanotherinawaythatmakessenseandispleasingtotheear.Throughmanyyearsofpractice,I'veobservedthatmakingagoodplaylistisalotlikesolvingapuzzle;andjustlikepuzzles,therearerulesandpatternstofollowifyouwanttoproduceacohesiveoutput.Inthistalk,we'llexplorethenotionofteachingtheserulestoacomputer,buildingaplanning&optimizationalgorithmthatfollowstheserules,andlettingitlooseonasetoftrackstogeneratedelightfulplaylistsonSpotify.We'llalsocoverthebasicsofmusictheoryandwhycertainsongssoundbettertogether.Therewilllikelyalsobefasttalking,livekeyboardplaying,andsomeunrehearseddemosagainstarandomsampleofSpotifyplaylistssubmittedbytheaudience.

CedricHurst@divideby0-gh:divideby0-SpantreeTechnologyGroup,LLC

CedricistheFounder&PrincipalofSpantree,aboutiquesoftware+data+systemsengineeringfirminChicago'sWestLoop.Someonerecentlydescribedhimasbeing"likeHouseMDbutfortechnicalstuff."Whileitwasaflatteringcomplimentinsomerespects,hehopesthecomparisondoesn'textendtohisbedsidemanner.He'spassionateaboutdrivingtechnicalchangewithinhisownteamandwithhisclients,buthealsorealizesthatsuccessfultechnicalchangefrequentlynecessitatesculturalchangeaswell.Tothatend,heandhisteamfocusondefininglanguageprotocolsandframeworksthatempowertheteamstheyworkwithtomakeinclusiveandprincipleddecisionsaboutthebestpathforwardtogether.Ifyoulethim,he'lltalkyourearoffaboutdistributedsystems,rulesengines,andexoticdatabases;buthealsoenjoysmakingcomputermusic,travelingandgivingawaymoneytostrangerswithcoolideas.

Empoweringpeopletobuildadigitalbank

9/1310:20am-11:00am,UnionStationRegencyC

Wearegoingtotalkabouthowwebuilt,maintainandscaleourmicroservicesarchitecture.Weareafast-growingdigitalbankwithalotofchallengesregardingscalability,operabilityandreliabilityandwewouldliketopresentastructuredtalkaboutthekeycomponentsofourecosystemandalsohowtheyinteractwitheachother.Sinceday-onewearchitecturedourentireinfrastructuretorunoncloudandtobeplatformagnostic,thatgaveustheabilityofgrowingfastandensuringourhighstandardsreliability.NowadayswedecoupleourinfrastructurefromEC2AmazoninstancestoKuberneteswherewegainedthedesiredagnosticism.There'safewcharacteristicsthatarenotsousualandgivesusalotofleveragewhencomparedtoourcompetitors,thingslikeShardingandHomogeneousCodebase,usingfunctionalprogrammingasourmainparadigm.Also,webuildandmaintainabstractionsthathelpourengineeringteamtosmoothlyoperateandconstantlyimprovetheirmicroservices,andfurthermoretheproductsweoffertocustomers.OneofthingsweusetoachievehighlevelsofresilienceandreliabilityisKuberneteswithourowndevelopedtoolingandabstractions,whichallowsustoprovidefastinteractioncycleandanevenmoreoptimizedwaytodeployservicesandotherinfrastructureparts.Forinstance,wedeploythingslikeThanos,PrometheusandGrafanausingthoseabstractionstoensurefast-ishmannertoreleaseandcontrolsoftwareversioning.

EricYoshimura@ericyoshimura_-gh:ericyoshimura-Nubank

EricYoshimuraisaSoftwareEnginneratNubank,currentlylivinginSãoPaulo,Brazil.NowadaysworkingonaSREteamhelpingtobuildanawesomemonitoringplatform.Insparetime,EriclikestowatchNHLgamesandlearnabouteconomicsstuff.

RiadVargas@riadvargas-gh:riadvargas-Nubank

RiadVargasisaSoftwareEngineeratNubank,withmorethan2yearsofexperiencedevelopingandmaintainingmicroservicesinthefinancialindustry,focusedinfunctionalprogramming,transactionaldatabasesandSREstuff.

TemporalDatabasesforStreamingArchitectures

9/1311:20am-12:00pm,StifelTheatreEncore

Timeisintrinsictoinformationandyetitisusuallyanafterthoughtindatabasedesigns.WepresentCrux,ageneralpurposeopensourcedocumentdatabasewithbitemporalgraphqueries.

ThistalkwillexplorethejourneyofhowCruxwasconceivedfromJUXT'sconsultingexperiencesofbuildingglobalsystemintegrationsandprovidingtemporalquerycapabilitiesforfinancialservicesprojects.

JonandJeremyfromthecoreteamwilloutlinetheoverarchinggoalsforCruxasan"unbundled",pluggable,andlayereddatabasewithbitemporalACIDtransactions.Bitemporalitycleanlyseparatesthetimewhenthesystemlearnsaboutafact(transactiontime)fromthetimesrelatingtotheactuallife-cycleofafact(validtime).Modellingvalidtimeisessentialinastreamingarchitectureformaintainingaconsistenttemporalviewofdata.BitemporalityinCruxprovidesefficientandhorizontallyscalablepoint-in-timeDatalogquerieswhilstenablingprogrammaticuseofthedatabase"asavalue"withgloballyconsistentqueries.

TheteamwillalsodiscussthedesignchoicesmadetosupportaDatalogqueryengineon-topofKey/ValuestoressuchasRocksDBandLMDB,theuseofsemi-immutablelogstoragetosupportevictionofsensitivedata,clusteringwithKafka,andtheuseofClojureforconstructingalayeredandextensiblesystem.Finally,theywillshareaviewonfuturedirectionsandhowJUXTplanstocollaboratewiththeopensourcecommunity.

JeremyTaylor@refset-gh:refset-JUXTLTD

JeremyTaylorisanOfferingManageratJUXTwhereheleadsthedevelopmentofCruxasanopensourcedatabaseproduct.Following7yearsoftechnicalpre-salesforIBM'seCommercesystemsbusiness,JeremytransformedhisinterestinClojureandDatalogfromahobbyintoacareerevolutionbyjoiningJUXT,theUK'sforemostClojureconsultancy.AsanOfferingManager,JeremyisresponsibleforleadingthegrowthofCruxtowardslong-termviabilityasasupportedopensourceproductintheenterprisedatabasemarketplace.Jeremyispassionateaboutdatabasetechnologiesandtheiruseforknowledgerepresentation,andhehascontributedtotheDataScriptlibrarythroughthecourseofhispersonalresearch.

JonPither@jonpither-gh:jonpither-JUXTLTD

JonPitherisatechleadbytradehavingledprojectsforJUXTatmultipleTier-1InvestmentBanks,anonlinenewspaperwebsite,amajorpropertyportal,andaninternationalpublicelectricbikesscheme.Jonisaco-founderofJUXT;asoftwareengineeringfirmthatusesClojureasitsprimaryweaponofchoice.Beforeco-foundingJUXTJonworkedasaseniorconsultantatThoughtWorkswherehebecamewellversedinAgilesoftwaredevelopmenttechniques.DuringhistimeasaconsultantJonworkedatlargeinstitutionssuchastheBBCandSky,amajorpublishinghouseandafashionretailgiant.JonwritesaseriesofblogarticlesforJUXTincludingaseriesofÂreferenceClojureadoptionstories.

ARobotPoetGoesforaWalkinthePark

9/1311:20am-12:00pm,StifelTheatreOvation

Designingcomplex,dynamicsystemsthatcanproduceinterestingandaestheticallypleasingartisaveryhardproblemtosolve,evenwhenyou'rejusttalkingaboutsomethingasfocusedasaTwitterbot.Whathappenswhenyoutrytomakeprocgenartthatdoesn'tjustexistontheInternet,butactuallylivesinandinteractswiththerealworld?

ComputationalFlâneurisagenerativesite-specificpoetrywalkthatcameoutofmyresearchattheMITMediaLab.AsyouwanderthroughtheFortMasonParkinSanFrancisco,apoetryrobotmakesupandreadsyoupoemsbasedonwhereyouwalk.Walkbythebay,andyou'llhearpoemsofthesea;walkbythecannonsandyou'llhearpoemsofwar.

ThistalkwillexplorethedesignanddevelopmentofComputationalFlâneur.Onatechnicallevel,we'lldiscusstheneuralnetworkmodelthatpowersthepiece'spoetrygenerator,includingabriefoverviewofcommontextgenerationtoolsandhowthisexactstructurewaschosentocreateaspecific"bot-like"aesthetic.We'llalsodiscusshowit'sseededbyvariousformsofsmartphonesensordatalikelocationandweather,whatsortsofprototypingprocesseswereneededtofine-tuneit,andhowtoconceptuallyapproachthissortofreal-

worldprocgendifferentlyfromnormalproceduralgenerationproblems.

EmLazer-Walker@lazerwalker-gh:lazerwalker-Microsoft

EmisaToronto-basedartist/engineerwhomakesinteractiveart,experimentalgames,andsoftwaretools.Mostofherworkfocusesonusingnontraditionalinterfacestoreframeeverydayobjectsandspacesasplayfulexperiences.She'sbuiltprojectsasfar-flungasasite-specificgenerativepoetrywalk,agameplayedon19thcenturytelegraphhardware,andacommercialboardgamethatusesAmazonAlexa.Currently,sheworksasaCloudAdvocateforMicrosoftAzure.

EasyAbstractInterpretationwithSPARTA

9/1311:20am-12:00pm,StifelTheatrePeabodyLounge

Usingabstractinterpretationtobuildascalabletoolfromscratchisadauntingengineeringtaskthatgenerallyrequiresaprotracteddevelopmenteffort.Tostreamlinethatprocess,webuilt(SPARTA)[1],aC++libraryofcomponentsforbuildinghigh-performancestaticanalyzersthatcanruninaproductionenvironment.SPARTAprovidesthebuildingblockssoanengineercanfocussolelyonthelogicthatextractsthedesiredinformationfromtheprogram.Thelibraryensuresthattheresultinganalysisissound,efficient,andscalable.

SPARTAisactivelyusedbyFacebook,mostnotablyinouropen-sourceAndroidbytecodeoptimizingcompilerRedex.However,SPARTAislanguage-independentandcontainsnoAndroid-specificlogic.

InthistalkwewillgooversomeofthealgorithmsbehindSPARTA,thebenefitswe'veobtained,andwewillshowyouhowtouseitinyourownanalyses.

[1]:https://github.com/facebookincubator/SPARTA

ArnaudVenet-gh:arnaudvenet-Facebook

ArnaudgothisPhDinabstractinterpretationfromtheÉcolePolytechniquein1998andhashelpedspreadtheuseofscalablestaticanalysisinindustrysincethen.

JezNg-gh:int3-Facebook

JezhasbeenhackingonprogramminglanguagesandruntimesatFacebookforthepastfiveyears:firstontheHacktypecheckerandthenontheRedexoptimizingcompilerforAndroid.WhileanundergraduateatAmherstCollege,healsoworkedonDoppio,oneofthefirstJVMimplementationsinthebrowser.

RubyontheAppleII:AdventuresinRetroProgramming

9/1311:20am-12:00pm,StifelTheatrePremier

TheminimumsystemrequirementsforPowerPoint2019are4GBofRAManda1.6GHzCPU.ThesystemrequirementsforthistalkareafewkilobytesofRAM,a51/4"floppydiskdrive,anda30yearoldcomputer.

Withan8-bitCPUrunningat1megahertzandkilobytesofRAM,theApple][wasahumblemachine.Manypeoplefirstlearnedtoprogramonit,butthelanguagesdesignedfortheApple][tendedtobeclumsyandlimitingbymodernstandards.Surelyitisn'tpossibletofitalanguageasdynamic,rich,andcomplicatedasRubyonsuchalimitedmachine,right?

ComeseeRubyrunningwhereithasneverrunbefore,learnhowprogrammingwasdonedecadesago.

ColinFulton@PeterQuines-gh:justcolin-DuoSecurity

Comingfromtheworldoftheatredesignandart,Colinisafront-enddeveloperandwebaccessibilityspecialistatDuoSecurity,adivisionofCisco.Whentheyaren'tatworktheyaredoingsillythingslikeimplementingchessgamesinuntypedlambdacalculusorwritingConway'sGameofLifeinsignificantlyfewercharactersthanittooktowritethisbio.

Observability:SuperpowersforDevelopers

9/1311:20am-12:00pm,StifelTheatreTheater

Whowantstospendtimedreamingabouttheabilitytoleaptallbuildingswithasinglebound,whenwecanrecaststorieswelivedaytodayaspowersofourown...andimproveourownlivesinapracticalway?Whenobservabilityisfoldedintothedevelopmentprocessitself,itrepresentsthepotentialforabeautifullyvirtuouscycle:productionstopsbeingjustwhereourdevelopmentcoderunsintoissues,

anditbecomeswherepartofourdevelopmentprocesslives.

ChristineYen@cyen-gh:christineyen-Honeycomb

Christinedelightsinbeingadeveloperinaroomfullofopsfolks.AsacofounderofHoneycomb.io,astartupwithanewapproachtodebuggingproductionsystems,shecaresdeeplyaboutbridgingthegapbetweendevsandopswithtechnologicalandculturalimprovements.BeforeHoneycomb,shebuiltoutananalyticsproductatParse(boughtbyFacebook)andwrotesoftwareatafewnow-defunctstartups.

LearningtoLoveJavaScript

9/1311:20am-12:00pm,UnionStationGrandF

JavaScriptisanimperfectprogramminglanguage.It'sweakly-typed,scopingrulesandtypecoercioncanmakedifficult-to-diagnosebugs,andcross-browsercompatibilitysometimesfeelslikeapipedream.Butdoesitmatter?

JavaScriptisthemostpopularprogramminglanguageintheworld,andcontinuestogrowyearafteryear.Howdidthathappen?HasJavaScriptsucceededdespiteitswarts,ordiditsshortcomingshelppavetheroadtoitswidespreadadoption?

Inthistalk,I'llarguethatjudgingthemeritsofJavaScriptsolelyasaprogramminglanguageismissingthepoint,andtoaccuratelyweighitsplaceintheworld,youmustconsiderJavaScriptbeyondtypes,scope,andsyntax.You'llwalkawaywithadeeperappreciationforthefeatofhumancooperationthatistheWorldWideWeb,andhowJavaScriptbecameoneoftheWeb'smostimportantthreads.

JavaScriptisheretostay.Let'slearntoloveittogether.

TaraVancil@taravancil-gh:taravancil-Glitch

TaraisadeveloperatGlitch,thefriendlycommunitywhereanyonecanbuildwebsites,apps,bots,andmore.Previously,sheco-foundedtheBeakerBrowser,anexperimentalWebbrowserthatexploreshowpeer-to-peerprotocolscanmakebuildingandsharingontheWebmoreaccessible.HerworkisrootedinunderstandingtheWebasauniversalcanvasforcreationandexpression,butalsoasanevolvingplatformthatmustalwaysbecarefullycultivated.ShelivesinAustin,TX.

RGBtoXYZ:TheScienceandHistoryofColor

9/1311:20am-12:00pm,UnionStationRegencyAB

Colorisafascinatingsubject.Itisbothincrediblysubjective(ie.whatmakesapaintingbeautiful)andperfectlyscientific(ie.wavelengthsoflight)atthesametime.Thistalkwillbeadeepdiveintothehistoryandscienceofcolorandthefascinatingworldofhumanperceptionandthescientiststhatattempttodefineit.

ManyofusarefamiliarwiththeRGBorperhapseventhesRGBcolorspace.Generally,though,westareatourcolorpickers,fiddlewiththevalues,andpicksomethingthatlooksright.However,themodernsRGBspecificationfollowsalonglineage.ItextendsallthewaybacktotheturnofthecenturyandtheCIE1931XYZcolorspace--oneoftheearliestspecifiedcolorspacesandonewhichisstillinusetoday.

Asdisplaytechnologyadvanced,sodidourcolor.Newcolorspacesemerged:CIELUV,CIELAB,YUV,HSV,HSL,RGB,sRGB.Eachwasmoldedforaspecificusecase,whetheritwasprint,perceptualuniformity,compression,orLEDdisplay.Bythetimeweworkourwaybacktothepresentday,we'releftwithalotofcoloroptionsandalotofquestions.

Inreality,though,themathandscienceisn'tallthatcomplex.We'llstartwithcolorspaceslikeRGBthatweknowandlove,andseehowthesenaturallyevolvemathematicallyfromearliercolorspacessuchasCIEXYZ.Moreimportantly,we'llseehowtoapplythisknowledgetothedecisionswemakeaboutcolorinourdaytodaywork.

JohnAustin@kleptine-gh:kleptine-AStrangerGravity

JohnAustinisadeveloperanddesignercurrentlylivinginSanFrancisco,California.Hehasbeenmakinggamesfornearly13yearsandhasworkedatGoogle,Microsoft,Funomena,andothers.Hefoundedandcurrentlyleadsthestudio,AStrangerGravity,seekingtobuildthoughtful,accessibleexperiencesthatseektoenrichthelivesofpeopleacrosstheworld.

NewprogrammingconstructsforprobabilisticAI

9/1311:20am-12:00pm,UnionStationRegencyC

Whatifitwerepossibletodostate-of-the-artAIprogrammingwithouthavingtodomath?ThistalkpresentsnovelprogrammingconstructsforprobabilisticAIthatautomateandhidedifficultmathematicalandnumericaldetailsfromtheuser.Theseconstructsareanalogoustoautomaticdifferentiationfordeeplearning,butapplytoabroaderclassofAIapproachesthatexhibitmoreaspectsof

human-likeintelligenceandcanworkwithoutanytrainingdata.

TheseconstructsalsoenableanewconceptualframeworkforprobabilisticAIthatreplacesarcanemathematicalobjectswithcodethatismoreaccessibletoprogrammerswithoutadvancedmathematicaltraining.Inthisframework,theuserfirstwritesastochasticsimulatorthatproducesimaginarydatasets.Theuserthenwritesasimplemetaprogramthatanalyzesthesimulatorcodealongsideanobservedreal-worlddataset,andinvertsthesimulatortoreturninferencesabouteventsthatcouldexplainthatdata.

ThetalkwillillustratetheseconceptsusingcodewrittenusingGen,ageneral-purposeprobabilisticprogrammingsystem.GenmakesitfeasibletousepowerfulAIapproachesthatwerepreviouslydeemedinfeasiblebecauseoftheirengineeringcomplexity.Thetalkwillshowhowtoinferthe3Dstructureandcontentofascenefromanimagebyinvertingagraphicsrendererandhowtofindthehiddencompositionalstructureintimeseriesdatatomakemoreaccurateforecasts,bothinunder100linesofcode.

MarcoCusumano-Towner-gh:marcoct-MITProbabilisticComputingProject

MarcoCusumano-Townercreatedthegeneral-purposeprobabilisticprogrammingsystemGenwhileworkingattheMITProbabilisticComputingProject.Heisafourth-yearPhDstudentinelectricalengineeringandcomputerscienceatMIT,co-advisedbyVikashMansinghkaandJoshTenenbaum.BeforeMIT,Marcoledananalyticsteamataclinicalcancerdiagnosticsstartup,andstudiedatStanfordandUCBerkeley.AsanundergraduateunderthesupervisionofPieterAbbeel,Marcodevelopedsystemsforautonomousroboticmanipulationofdeformablematerials(a.k.a.roboticlaundry-folding).Hehaspresentedhisresearchatleadingacademicconferencesinprogramminglanguages(PLDI,POPL),machinelearning(NeurIPS),androbotics(ICRA).Marcoisinterestedindevelopingprogramminglanguages,systems,userinterfaces,andothertoolsthatmakeiteasiertodevelopapplicationsofautomatedprobabilisticreasoning.

FridayLunch

9/1312:00pm-1:30pm,StifelTheatreTheater

LunchisprovidedatboththeStifelTheatreANDatUnionStation.Itisdifficulttosizethemealsappropriatelyaswearesplitbetweenthetwovenues,sowe'dpreferthatyoustayatthesamevenueasthesessionyouattendedjustpriortolunch.

StifelTheatrelunch:

Option1:RoastSirloinofBeef-Focaccia,tomatoes,sweetonionjam,BoursincheeseOption2:SmokedTurkeyandArtichokeSandwich-wholewheatbun,sundriedtomatoes,mozzarella,babyspinachleaves,basilaioliVegan(servedinKielClub):"ZLT"Sandwich-Frenchbaguette,grilledzucchini,tomatoes,sundriedtomatopestoGlutenfree(servedinKielClub):RoastsirloinofbeeforsmokedturkeySides-orangeorapple,cookie

UnionStationlunch(veg+gfoptionslabeled):

Chef'sSoupduJour(Vegan)RomaineCaesarSaladwithGarlicCrostini(deconstructed,balsamicoption)BeanSaladwithCrispVegetables&WhiteBalsamicVinaigrette(vegan)PotatoSaladtossedwithChipotleMustardDressingTheButcher'sFare,TunaSalad,GarlicSearedRoastBeefHoneyGlazedSmokedHam,RoastedTurkeyBreastGrilledVegetablesandTofuSwiss,Cheddar,Provolone&RegionalBreadPresentationGFbreadoptiononthebuffetandlabeledIndividualbagsofMs.Vickie'sPotatoChipsAssortedBrownies,Bars,&NewYorkCheesecake

Beyondtraces:theinsightsintraceaggregates

9/131:30pm-2:10pm,StifelTheatreEncore

Thevaluepropositionfordistributedtracingiswell-understood:assemblingandvisualizingend-to-endtransactionshelpstoidentifylatencybottlenecksandprovidesahead-startonproblemdiagnosis.However,traditionaltracingpracticesenabledatapresentationatthegranularityofonlyasingletransaction.Thisdataisusefulfordebuggingspecificissues,butitisdifficulttodrawconclusionsabouttheoverallsystemwithoutknowinghowrepresentativealonetraceis.Instead,aggregatingthesetracescanrevealmuchmore,andcandosowithgreaterprecisionandcertainty.

Thistalkpresentstheprofoundinsightstraceaggregateshelpunlock,includingsourcesofresourcecontention,latencyanomaliesinthecontextofserviceinfrastructure,andcorrelationsofmetricswithhigh-cardinalitycharacteristicsofthedistributedsystem.Thetalkdemonstrates,usingconcreteexamples,hownovelapplicationsofaggregatedtracesrevealnewopportunitiesforperformance

improvements.However,aggregationisnotpossiblewithoutastandardizedtracingoutputformat,aswellasaproliferationoftracesviacloud-nativeservicemeshintegration.

DanielaMiao@dymxzvf-gh:danielamiao-LightStep

DanielaMiaoiscurrentlyanEngineeringManageratLightStep,whereshejoined2yearsagoasanengineer.PriortoLightStep,shewasanengineerontheDynamoDBteamatAmazonWebServices(AWS),whereshespokeatmanyexternaleventsincludingBigDatameetupsandtheAWSdeveloperconference,re:Invent.DanielaisinterestedinvarioustopicsincludingNoSQL,privacy&securityanddistributedtracing.AtLightStep,sheiscurrentlyworkingondistributedsystemperformanceanalysis,andshespendsalotoftimethinkingabouthowtoprovidedeveloperswithvaluableperformancesignals.

TheIdeaBecomesaMachineThatMakestheArtThat...

9/131:30pm-2:10pm,StifelTheatreOvation

...MakesaMachineThatMakestheArt

SolLeWittwasaprolificAmericanartistcreditedwithfoundingConceptualArtandMinimalism.Thistalkisinspiredbyhisseriesofparticipatory,conceptualartcalled,"WallDrawings".TheWallDrawingsarelarge-scaleinstallationsthatgrowfromasetofsimplewritteninstructionsbySolLeWitthimself.

EachWallDrawingistheculminationofSolLeWittusinghisinstructionstocollaboratewithhumanassistantsthatinterprethiswritingstothebestoftheirability.LeWittoncestated,"TheIdeaBecomesaMachinethatMakestheArt."Thisbegsthequestions:Whichistheart,theidea,theexecution,orboth?Atwhatpointisthehumanthetoolandthetoolanartist?

Wewillcontinuethismodeofthoughtandquestionwhethertheworkgeneratedbyamachinetrainedbyhumans(followingtheinstructionsoftheartist,SolLeWitt)canbeconsideredart.Wewillexploreahuman-machinecollaborationusinghumanandAIassistantsthatwillinstallinterpretationsofWallDrawingsinavirtualspaceonline.

WewillgivedifferentWallDrawingpromptstohumanassistantssotheycaninterpretandcreateversionsofSolLeWitt'sart.Giventhedatafromthesehumanassistants,wewilltrainneuralnetworkstogeneratetheirownworkbasedonthesepromptsusingmachinelearningtechniquessuchasRNN,LSTM,andGAN.Finally,weplantofeedthesebackintoacollaborativeenvironmentforbothhumanandAIassistants.

ChristineStavridis-gh:promptandpleasant-Prompt&Pleasant

Prompt&PleasantisadigitalpracticecomprisedofChristineStavridisandJonathanKing.Weareexploringwaystomaketheseeminglyinaccessible,accessible.

JonathanKing-gh:promptandpleasant-Prompt&Pleasant

Prompt&PleasantisadigitalpracticecomprisedofChristineStavridisandJonathanKing.Weareexploringwaystomaketheseeminglyinaccessible,accessible.

ApachePulsarandtheLegacyofTelegraphy

9/131:30pm-2:10pm,StifelTheatrePeabodyLounge

TheWirelessTelegraphwasinvitedinthe1890sandquicklyspreadtobethedominantmethodofpeer-to-peercommunicationthroughoutthe19thcentury.Asamethodofcommunication,theTelegraphallowedforasecure,Intercontinental,high-throughputandextensiblemessagetransmission.Towardtheendofitspopularity,Telegraphswereabroadcastprotocol(onesendertomanyrecipients),andtheirutilityskyrocketed.ThedesignconsiderationsandengineeringoftheTelegraphareseenincontemporarymessagingsystems,especiallyApachePulsar.Thistalkcoversthedesignconsiderationsrequiredtoenabledgloballydistributed,low-latencyapplicationstorunontopofApachePulsar.Fromthestoragemodeltoreplicationanddeployment,Iexploreeachofthesedesigndecisionsandhowtheycontrastwiththedesignofwirelesstelegraphy.ThetalkconcludeswithademoofApachePulsarfunctionsandPulsarSQL,displayingtheextensibilityofPulsar.AttendeescanexpecttolearnabriefhistoryofwirelesstelegraphyandadeepunderstandingofthedesignofApachePulsar.

JowanzaJoseph@Jowanza-gh:josep2-Pluralsight

JowanzaisasoftwareengineeratPluralsight.PrevioustoPluralsight,JowanzaworkedatAdobe,Zagg,andEdgebyAscentialonmachinelearning,distributedmicroservicesanddistributeddataprocessing.JowanaisafrequentconferencespeakerincludingappearancesatOpenSourceSummit,O'ReillyStrata,ScalabytheBay,OpenWestandAllThingsOpen.Jowanzacontributestoseveralopensourceprojectsandisanactivebloggeronhiswebsite.

VoiceDrivenDevelopment:Whoneedsakeyboardanyway?

9/131:30pm-2:10pm,StifelTheatrePremier

Asaprogrammer,beingunabletouseakeyboardcanseemlikeacareer-endinglimitation.IwasfacingthatrealityayearagoduetoRepetitiveStrainInjury,wheneveryproductivedaywasastepbackformyhealth.Inafutile,last-ditcheffortatsavingmycareer,Iturnedtospeechrecognition.Unexpectedly,notonlywasIabletoreturntopain-freeproductivity,butIfoundvoice-drivendevelopmenttobeenjoyable,efficient,andasourceofrenewedexcitementforprogramming.Speechrecognitionisn'texactlyknowninsoftwaredevelopmentcirclesasaworkableapproachtoprogramming,butit'sbetterthanyou(probably)think!Farfromimposingatediousworkflowwithaspecializedsetofcommands,speechcanenableflexibilityandoptimizationsthataredifficulttoachievewithakeyboard,anddoesnotgetinthewaywhenadaptingtonewtechnologies,tools,orlanguages.Thispractical,demo-driventalkpresentstheapproachandtoolsthathaveallowedmetocontinueonwithmycareer.I'llpresentrealworldexperiencewithspeech-relatedtopicslikedisambiguatinghomophonesontheflyandteachingthevoiceenginenewtechnicalvocabulary.Beyondtechnicalaspects,Iwillsharemyexperienceguidingateamtosupportthisworkingstyle,andchallengestoaddingamicrophoneintoanopenofficeenvironment.Speechnotonlyremovesthecompromisebetweenhealthandcareerwhenaninjuryispresent,butcanalsoaugmentandimprovetheworkflowforawideraudience.

EmilyShea@yomilly-gh:2shea-Fastly,Inc.

EmilyisaSeniorSoftwareEngineeratFastly,wheresheworksontheplatformfordeliveringcoreCDNconfigurations,anddevelopsinPerlusingspeechrecognition.Inapastlife,sheworkedinHRatmobilegamingcompanies.EmilyholdsaBAinArchitecturefromUCBerkeley,andinhersparetimelikestohangoutinparkswithherdog,namedChicken.

Findingbugswithoutrunningorevenlookingatcode

9/131:30pm-2:10pm,StifelTheatreTheater

Whatifyoucouldfindcomplexbugsinsystemswithouteverhavinglookedatanyofthecode,withoutrunningthecode,withoutcloningthecode,orevenknowingwhatlanguagethecodeiswritteninorwhereitsgitrepolives?Whatifyoucouldvalidatethecorrectnessofanarchitecturalproposalbeforewritingcode?

Whilethismightsoundimpossible,it'sinfactquitedoable,andhappeningeveryday!

Toolscalled"modelcheckers"canbeusedtomodelandanalyzethearchitecture/designofasystem.Modelcheckerscansimulateeverypossiblesequenceofoperationsyoursystemmighteverencounter,andcheckifdesiredpropertiesalwayshold.Andifapropertydoesn'thold,themodelcheckerwillshowyouanexactsequencesofoperationsthatviolatesit.

Benefitcanbehadbothintheearlydesignstagesofaproject,orifyou'reanewcomertryingtogetup-to-speedonanexistingsystem.Examplesofbothwillbeshown.

ThistalkwilldescribethemodelcheckerAlloy(http://alloytools.org).I'llshowhowweusedittoinvalidatealargeamountofworkbyonegroup(beforemultipleteamsstartedtotryintegratingwiththatwork).I'llalsoshowhowweemployedittofindahighlysubtlesecurityflawinanothergroup'sproject,withouteverlookingatasinglelineofcodefromeithergroup.Inbothcases,wedidthissimplybytalkingtoteamsaboutthearchitectureoftheirsystems,andtranslatingthosedesignsintoformalspecifications.

JayParlar@parlar-gh:parlarjb-Okta

JayParlarhasbeenasoftwaredeveloperfor~20years,andholdsaPhDinSoftwareEngineering.Hismajorfocusthepast~3yearshasbeenontheÂapplicationofformalmethodstorealindustryproblems.ThishasresultedininterestingsuccesseswithAlloy,TLA+,andinwritingacustommodelcheckerinZ3.Buthe'dalsolovetotalktoyouaboutPython,runningandfountainpens!

Hownottoreadtheroom:CreatingwearableswithML

9/131:30pm-2:10pm,UnionStationGrandF

I'manintrovert.Thiscanbeabitunfortunate,whenyouareapersonthatenjoysspendingalotoffreetimecreatingfashionthingsbedazzledwithLEDs...onlytorarelywearthemoutinpublic.ÂInanefforttoactuallysharemyweirdandwonderfulcreationswithothers,Idecidedtocreateawearableprojectthatwouldforcemetobesociableinorderforittorevealitsmagic.Inthistalk,I'llsharehowIamusingmachinelearningwithjavascriptandtinycomputerstomake"fashion"thatisresponsivetothepeoplearoundyouandtheattentionyouare(oraren't)receiving.

StephanieNemeth@stephaniecodes-gh:traumverloren-Microsoft

StephanieisadeveloperlivinginBerlin.SheenjoysexperimentingwithhardwareandLEDstomakebeautiful,uselessthings.

AStitchinTime-TheFutureofOSSSustainability

9/131:30pm-2:10pm,UnionStationRegencyAB

OpenSourceSoftware(OSS)hascreatedenormousvalueforindividualsandbusinesses.Howeverthecreatorsofthatsoftwareoftencaptureatinyfractionofthatvalue,andcanenduptired,burntout,orquittingtheprojectentirely.Inthepastfewyears,newfearshavearisenthatcloudproviderswill'take'opensourcesoftwareandresellit,leadingsomecompaniestomoveawayfromopen-sourcelicensestopreventthisfromhappening.

ClojuristsTogetherisanorganisationcreatedtohelpsupportandgrowcriticalopensourceClojuresoftware.ThistalkwilldiscussourexperiencegrowingClojuristsTogetherandsomeinsightsithasgivenusinto:

ThebenefitsoffundingOSSforallpartiesDifferentwaysoffundingOSS,andhowtheysuitdifferentkindsofprojectsHowdifferentlicensesimpactfundingmodels,andwhyyoushouldpickalicensecarefully!WhatbusinessesarelookingforwhentheysponsoropensourceLessonswe'velearntservingtheClojurecommunityFuturedirectionsforfundingOSSthatwethinkarepromising

DanielCompton@danielwithmusic-gh:danielcompton-Falcon

DanielComptonisasoftwareengineerlivinginMorrinsvilleNewZealand.HehasbeeninvolvedintheClojurecommunitysince2014,workingonanumberofopensourceprojectsincludingKibit,re-frame,andre-frame-10x.HeistheprojectleaderofClojuristsTogether,acommunityorganisationdedicatedtofundingcriticalClojureopensourcesoftware.HealsopublishesTheREPL,anewsletterandpodcastaboutClojure.Heisengineer#1atTheFalconProject,astealthstartup.PriortothatheworkedatDay8buildingsystemsinClojureandClojureScript.

PrivacyGovernance&ExplainabilityinML/AI

9/131:30pm-2:10pm,UnionStationRegencyC

SincetheGeneralDataProtectionRegulation(GDPR)wentintoeffectinMay2018,mattersofdataprivacyhavegrownfromminororganizationaladjustmentstoenterprise-levelinitiativeswithimpactoninnovationandday-to-dayoperationsalike.Whileprivacycompliancemaybestraightforwardinsomeareas,thegrowthandexpansionofmachinelearning(ML)andartificialintelligence(AI)havehascreatedanimpassebetweenconsumerdataandprocessesthatare,tosaytheleast,difficulttofullyexplain.IntegratingprocesseswithMLandAItechniquesoftenprovetosignificantlybenefittheaccuracyandefficiencyofprocessesanddecisionmaking,butone'sabilitytofullyunderstandpreciselyhowanoutputwasgeneratedoradecisionwasmadeforanindividualismucheasiersaidthandone.Yet,regulatorsacrosstheglobearechallengingbusinessestoexplainhowtheyareusinggovernancetechniquestoprotectconsumerdataprivacyandtoexplainhowdecisionmakingwithinML/AIisimpactingconsumers.Howcanoneidentifybias?Whatprocessescanbeintroducedtoprotectconsumerprivacywhilerootingoutpotentialbiasintheunderlyingmodels?Inthistalk,wewillexploremethodsforenhancingprivacyandgoverningdatathatisusedforML/AI,aswellastoconsiderproceduralapproachesavailableforrootingoutbiasandbuildingafoundationforconsumerconfidenceinanotherwisecomplexandopaquespace.

JaredMaslin-SlalomConsulting

JaredisaSolutionArchitectwithSlalomConsultinginSt.Louis,aswellasanEducatorwiththeUniversityofCalifornia,Berkeley,wherehesupportsacourseonHumanValuesandEthicsinDataScience.JaredhasmorethanadecadeofdiverseexperienceinDataPrivacy,DataAnalytics,Auditing,Compliance,andFinance,whichhascontributedtoauniqueperspectiveinthespace.

DeterministicDockerImageswithGoMicroservices

9/132:30pm-3:10pm,StifelTheatreEncore

AtSamsara,wecontinuouslydeploymorethanahundreddifferentmicroservices,allofwhichwewantedtodoaseasilyandautomaticallyaspossible.Wewantedtomakethisevenbetterbybringingourdeploytimestounder20minuteswhileminimizingdisruption,asthiswouldalsomeanthatwewouldstarttodeploynearlyourentirestackabout3timesahour.Oursolutiontothat:deterministicallybuildingourservicesinourdeployedimagestominimizetimespentbuildingservices,networkcostswithmovingimagesaround,butmostimportantly,beingabletoautomaticallyfigureoutwhichofourserviceshaveactuallychangedandonlydeployingthose.

Thisofcourse,comeswithsomechallengesfromtheinfrastructurelayer,tothecodepatternsanddesignweuseacrosstheorganization.

We'llbetalkingaboutthesechallengesduringthistalk,namely:

1. Buildingdeterministicgolangbinaries,andtheedgecasesandflagsyouhavetodotogetitright,aswellassomehistoryongolangdevelopment'seffortstobedeterministicandtimeswhenit'sregressed.

2. Buildingdeterministicdockerimageswithbazel,andadiveintohowdockerworksandwhyitdoesn'tnativelysupportthis.3. Challengeswithkeepingcodedecoupledtopreventchangesfromrebuildingallofourimages,aswellasthepatternsandtoolswe

usetohelpwiththis.

JonSanMiguel-gh:jsm-Samsara

SeniorSoftwareEngineer@Samsara,previouslyatHuddleUp,Optimizely,Yahoo,Lexity,&Servio.Beenthroughmanylifespansofstartups,seeingthembothfail&growtremendously,withextensiveexperiencerangingfrombuildingimmersivefrontends,torobustlow-levelinfrastructure.

ImprovinglawinterpretabilityusingNLP

9/132:30pm-3:10pm,StifelTheatreOvation

Theprocessoflegalreasoningisheavilyreliantoninformationstoredintext,butwhilelegaltextsaregenerallyeasilyaccessible,theirinterpretationoftenisn'tstraightforward,makingtheunderstandingofthelaweffectivelyinaccessibletothegeneralpublic.

DataScientistsfromBardess,incollaborationwitharesearchgroupfromtheGovernmentofOntario,haveinvestigatedhowNaturalLanguageProcessingtechniquescanbeappliedtounderstandlinguisticpatternsinlegislativetextsandextractinformationthatismeaningfulforthepublic.

UsingtheAccessibilityforOntarianswithDisabilitiesAct(AODA)asatestcase,wedevelopedamulti-stageanalysisthatcombinessomewellknownNLPmethodologiesinauniqueapproach.UltimatelywewereabletoautomatetheextractionofrulesfromtheActanditsRegulation,identifytheentitiesresponsibleforcompliance,andorganizethemintogroupsthatarehomogeneouswithrespecttotheirimpactonvariousentitiesandindustries.

Themethodologydevelopedprovidesuswithaframeworkforrepresentinglegaltextsthatcanbeusedtosimplifythewayinformationinthelawisaccessedbythepublicandatthesametimehighlightspartsofthelawthatareparticularlyhardtointerpretandshouldbere-writtenmoreclearly.

SerenaPeruzzo@sereprz-gh:sereprz-BardessGroup

SerenaisaseniordatascientistattheanalyticsconsultancyBardess,currentlybasedinToronto,Canada.BeforejoiningBardess,shehasworkedbothinacademiaasanMLresearcherandintheindustryasadatascienceconsultantontheAustralian,BritishandCanadianmarkets.Serenaispassionateabouteducation,communityandtechforgoodandshesplitsherfreetimebetweenmentoringdatasciencestudents,organizingmeetupsandvolunteering.

Alda'sdynamicrelationshipwithClojure

9/132:30pm-3:10pm,StifelTheatrePeabodyLounge

Aldaisamusicprogramminglanguagethatprovidesawaytodescribeamusicalcompositionasatextdocument.Itssyntaxiseasytouseandwell-suitedforbothmusicianswithlittle-to-noprogrammingknowledgeandprogrammerswholackmusictheoryknowledge.

AldaandClojurehaveacomplexrelationshipthatisatthecenterofthistalk.Iwilltellthestoryofhowthetwobecameintertwinedandmycurrentefforttodisentanglethem.InterestingtopicsthatwillbediscussedalongthewayincludeZeroMQ,OpenSoundControl(OSC),andthecreationofnativeexecutables.

DaveYarwood@dave_yarwood-gh:daveyarwood-Adzerk

DaveYarwoodisacomposer,musician,andsoftwareengineeratAdzerk,whereheusesClojureandClojureScripttobuildUIs,APIs,andbackendservices.InadditiontoAlda(anopen-sourcemusiccompositionprogramminglanguage),hemaintainsanumberofopen-sourceClojurelibrariessuchasezzmq(ahigh-levelZeroMQlibraryforClojure)andMantra(aClojureScriptWebAudioAPImusiclibrary).

DaveholdsaBachelorofMusicdegreefromtheUniversityofNorthCarolinaatChapelHill,withfocusesinMusicCompositionandBassoonPerformance.Heisendlesslyfascinatedbytheintersectingworldsofmusicandprogramming.

DigitalandSocialResiliencethroughtheNYCMesh

9/132:30pm-3:10pm,StifelTheatrePremier

NYCMeshisacommunity-runmeshnetworkthathelpsoverthree-hundredhomesconnecttohigh-speedInternet;makingitoneofthelargestmeshnetworksintheworld.WeworkwithanyoneinterestedinreclaimingownershipovertheirInternet,butspecificallyengagewithunderservedpopulationsincludingresidentsinlow-incomehousingandcommunitycenters.Builtbyacombinationofconsumer-gradematerialsanddonatedfiber-opticcable,thisnetworkgivespeopleownershipandcontrolovertheirInternetusage.

Digitalempowermentdoesnotendattheconnection.AtNYCMesh,weteachmembershowtobuildandmaintainthenetwork

themselves,resultinginatrulydecentralizedandresilientnetwork.Ourtrainingprogramteachesmemberstoleadnodeinstallations,ataskthatrequiresplanning,criticalthought,andcooperationfromtheteam,givingourmembersandeeperappreciationforthisutility.

Inthistalk,wewilldescribehowwehaveappliedthenotionofdecentralizationboththetechnicalandorganizationaldesignoftheNYCMesh.WewilltalkaboutwhyeducatingourcommunityonthenetworkinglayerisessentialinordertobuildatrulyequitableInternetandhowourtrainingprogramhelpsdevelopinformedusers.Wewillalsodescribeourgoalsforexpandingthenetworkanditspotentialforcommunitybuildingwithhyper-localizedwebsitesandapplications.

MichaelDonatz@donutsonhudson-gh:donutsonhudson-BloombergLP

MichaelisavolunteerwithNYCMeshandtheOutinTechDigitalCorps.BydayheworksinPhilanthropyEngineeringatBloomberg.

JillianMurphy-NYCMesh

JillianMurphyvolunteerswithNYCMeshwithaparticularpassionforbreakingdownsocialbarrierswiththeaidsoftechnologyandeducation.Jillianisaninstallleader,eventorganizer,andauthoroftheorganization'smonthlynewsletter.TheIRSknowsherasanadministratoratNewYorkUniversitywheresheisalsostudyingbusiness.

DeclarativeAPIsinanImperativeWorld

9/132:30pm-3:10pm,StifelTheatreTheater

DeclarativeUIframeworkshavetakenovertheJavaScriptlandscape.Whichisgreat,becausemakingassumptionsaboutyourapplication'sstateisasourceofpain,frustration,andbugs.ButwhathappenswhenyouneedtogluetogetherimperativeAPIswithyourdeclarativeUIframework?

Inthistalk,I'llexplainproblemstheAtomEditorteamcameacrosswhenwestartedusingReactasourUIframework,aswellasthesolutionswecameupwith.We'lldiscusshowtogeneralizethesepatternstointegratewithotherimperativeAPIsyoumightcomeacrossinthewild,suchasanimationlibraries.Finally,we'llexplorewhatwecanlearnfromthehistoryofsoftwaretrendsovertimetocreateabetterfuturetogether.

TildeThurium@annthurium-gh:annthurium

TildeAnnThuriumisanartist,engiqueer,andactivist.Inpreviouslives,theyhavedonestintsasaflorist,asecurityguard,andaHumanResourceswench.Intheirsparetime,theyillustratedatastructuresandalgorithmswithacrylicpaint.

Howtobuildwithdatatrustandprivacyasabaseline

9/132:30pm-3:10pm,UnionStationGrandF

TimBerners-LeerecentlypublishedhisContractfortheWebwithacoreprinciplestatingwemust"Respectconsumers'privacyandpersonaldatasopeopleareincontroloftheirlivesonline."

Noble'stalkexplorestacticalapproachestobegoodstewardsofdatainthefaceofgrowingregulationsthroughsoftwarewithtechniqueslikedifferentialprivacy.

NobleAckerson@nobleackerson-gh:stigsfoot-OpenARCloud

NobleisaSeniorManagerforProductManagementandSoftwareatOpenARCloudwhereheadvisesonDataGovernance,DataPrivacy,DataTrusttoteamsacross55countries.He'salsoaGoogleDevelopersExpertforproductstrategyandarecoveringstartupfounderdeliveringaugmentedreality,virtualreality,webandmobiletechnologiesfromabstractconceptstofinalproducts.

NoblesitsontheAlumniLeadershipBoardfortheleadingonlineeducationstartup,Udacity.AmemberoftheAlumniBoardathisalmamater,LynchburgCollegeandactsasthePublicityChairforUbicompandISWC,twotop-tierconferencesfortheinternetofthingsandwearabletechnology.WhenNobleisnotfocusedonproduct,heismentoringunderrepresentedandaspiringdevelopers,speakingattechnologyeventslikethisone,orspendingtimewithhisdaughters.

AutomatingOperationsofaGlobalCDN

9/132:30pm-3:10pm,UnionStationRegencyAB

AspectsoftheNetflixgrowthstoryareveryvisible-thetransitionfromphysicalmediadeliverytodigitalstreaming,orfromadomesticfocustoaglobalone.However,therearesometransitionsthatmaybelessnoticeable.

OneexampleoftheseunnoticedtransitionsisfromrelianceoncommercialCDNprovidersforcontentdelivery,toutilizinganin-house,purpose-builtglobalCDNknownasOpenConnect.ThisisthesoleproviderofallNetflixstreamingcontent.

EfficientlyoperatingthisglobalCDNrequiresmorethanjustcompetentpersonnel.Thereisheavyrelianceonsoftwareautomationandtooling,whichhelpstheCDNscaleatafasterpacethantheheadcountrequiredtorunit.

Giventhefast-pacedgrowthofNetflixstreaming,therehavebeenmanychallengesinhowtobestsupportOpenConnectoperationswithautomation.Teamsemergedtocollectivelybuildapplicationsthathelpmeettheseneeds,butovertimetheseapplicationsballoonedtorelativelylarge,siloedmonolithsthatarefunctional,butoftendifficulttodeployandmanage.

Throughthistalk,youwillreceiveinsightintohowwehavestreamlinedourautomationstory.Howweactivelytransitionedfromlargemonolithstoamoredecomposed,scalablesetofmicroserviceswerefertoastheOpenConnectAdministrationPlatform.Youwillbewalkedthroughourautomationjourney-ourhistory,ourfuture,thepitfallswehaveencounteredandthelessonswehavelearnedalongtheway.

RobertFernandes@bovilexic-Netflix

Forthelast2yearsRobertFernandeshasleadtheOpenConnectToolsteamwithinNetflix,whichhandlesthesoftwareautomationandtoolingfortheNetflixglobalCDN.Priortomanagingthisteam,hewasacontributingengineerontheteamforover4years-helpingtobuildandmaintainalargeportionofthesuiteofsolutionsittakestooperatetheCDN.PriortoNetflix,RobertspentoveradecadeinthegovernmentR&Dspaceworkingforanationalresearchlaboratory,followedbyafewyearsintheareaofenterprisebusinesscollaborationsoftware.Hisentirecareerhasbeenspentasanarchitectandageneralist,workingonallpartsofthestack-fromdataandpersistence,tomiddletierservicesandAPIs,allthewayuptofrontenddesignanddevelopmentusingavarietyofUIframeworks.

Ridingthestreamprocessingwave

9/132:30pm-3:10pm,UnionStationRegencyC

AtLinkedIn,werunseveralthousandsofstreamprocessingapplicationswhich,coupledwithourscale,hasexposedustosomeuniquechallenges.Wewilltalkaboutthe3kindsofapplicationsthathavemadethemostimpactonourstreamprocessingplatform.

MachineLearningapplicationsaredrivingsomeofthelatestinnovationsforstreaming.Thecurrenttrendistotrainamodelinbatchenvironmentsanddoinferenceinonlineenvironments.Webuiltsomenativecapabilitiessuchas"side-inputs"forhandlinglargestate,whileallowingfeaturestobecontinuouslypushedfromofflinegridstostreamingenvironments.DataScientistspreferDSL'sforfeaturegenerationandaccess.Consequently,webuilttheabilitytoconvertamachinelearningDSLtoastreamingjobanduseitforfeatureengineering.WewilltalkaboutthiscapabilityandhowthiscanbeextendedtoconvertHive,PigorothercustomDSLtostreamingapplications.

Wehaveobservedtheemergenceofapplicationsthataremovingfrombatchprocessingmodetonearlineprocessingmodeaswellasoperatingonbothbatch(HDFS)andstreaming(Kafka)datasets(e.gExperimentation).AtLinkedIn,weuseSamzaforstreamprocessing,andSamzaapplicationscanachieveoffline-onlineconvergenceofstreamandbatchprocessingbysimplyswitchingthestreaminginputsystemslikeKafkawithHDFS-basedinput.ApacheBeamintegrationforSamzaenablesthecapabilitytoexecuteindifferentenvironments.Streamingapplicationsnowmaintainverylargelocalstate,andduringdeployments,applicationornodefailuresitiscriticaltorestorethisstatetoitspreviousversion.Wewilltalkabouttheimpactofthesefailuresonlargestatefulapplicationsandsomeoftherecentimprovementswehavemadeinhostaffinity,staterestoreandournewstandbycontainersolution.

SamarthShetty-LinkedIn

SamarthShettyisanengineeringleaderwith14+yearsofexperienceinbuildingglobalscalecloudinfrastructure.AtLinkedIn,heleadstheStreamprocessing(ApacheSamza)andDatapipeline(BrooklinandDatabus)teams.PriortoLinkedIn,heleddevelopmentteamsthatbuiltcorecomponentsforAzureStorage,AzureCDN,andWindowsatMicrosoft.

SafetyinChaos:FormingRealisticFailureHypotheses

9/133:30pm-4:10pm,StifelTheatreEncore

Subjectingsystemstofailuresissupposedtoincreaseconfidenceintheirstability.Butwhy?Howdoyouformfailurehypotheses?Howdoyoureasonabouttheirsafety?Whyshouldyourorganizationlistentoyouandinvestintestingyourfailurehypotheses?

ThesearesomeofthequestionsIfacedduringmyquesttoimproveproductionstabilityatwork.Inthistalk,wewilldiscussthreequestions:

Howtoformbetterhypotheses,andinparticular,howtoseparateopinionsfromhypotheses?Iwillsharesomeexamplesofoverlysimplistichypotheses,testingofwhichmaynotproducedesiredoutcomes.Howtopushsafetyboundariestohelpyouincreasetheriskinessofyourhypotheses?Iwilloutlinesometenetsofincreasingsystemssafety,beforeyoucanincreasetheriskinessofyourhypothesis.Howtoinfluencebettertrade-offsbetweeninvestinginchaosengineeringandeverythingelse?Howtoreleasetheconstanttrade-offtensionthatexistsinmostorganizations,sothat,youasengineer,caninfluenceyourorganizationtoinvestinchaostesting?

SubbuAllamaraju@sallamar-gh:S3u-ExpediaGroup

SubbuAllamarajuisaseniortechnologistattheExpediaGroup,whereheisleadingalarge-scalemigrationofExpediaGroup'stravelplatformsfromenterprisedatacenterstoahighlyavailablearchitectureinthecloud.Subbuisawell-roundedengineerandinfluencerwithhands-onexperienceinsoftwaredevelopment,architecture,distributedsystems,services,internetprotocols,operations,andthecloud.Overthepastseveralyears,hehashelpedbuildandempowerseveralengineeringandoperationsteamsintheseareas.

TowardsanOpen,Reason(ML)ableWeb

9/133:30pm-4:10pm,StifelTheatreOvation

Webtechnologiestodayareconvergingtowardstwoparadigms-statictypingandcompilationtoJavaScript.Morethaneverbefore,engineerswantsoundtypesystemsandelegantlanguageergonomicswhilegeneratingperformantJS.ReasonMLpromisesthebestofbothbypairingOCaml'srobusttypesystemwithablazingfastJavaScriptcompiler,BuckleScript.

Despitethesebenefits,Reasonmadeaminimalsplashwhenitarrivedin2016.OtherprojectslikeTypeScripteclipsedcommunityattentionaroundstatictypingandperformance.Butthat'sbeginningtochange.Accordingto2018'sStateofJSsurvey,Reasonhasseen94%growthindeveloperinterestoverthelastyear,greaterthananyothersurveyedlanguage.Thissuccesshasbeentheresultofadistributedopensourceeffortbycommunitycontributors.TheproliferationofbindingsforJavaScriptlibrarieslikeReactandApolloaremakingReasonaproductionchoiceforteams.Inaddition,thecreationofanativepackagemanager,esy,andUIframework,revery,signalsamajorbreakthroughincross-platformdevelopment.

Inthistalk,we'lldiveintohowtheReasoncommunityembracedopensourcedesigntocreatealanguagethatfulfillsthepromiseof"writeonce,runanywhere."We'lldigintoReason'sinternalsandexaminethemanyrapidevolutionsofthelanguage.Finally,we'lldiscussthechallengesofdevelopingopensourceinunchartedtechnicalfrontiersthroughthelensoftwoReasonprojects,reveryandwonka.

ParkerZiegler@parker_ziegler-gh:parkerziegler-Formidable

ParkerisasoftwareengineeratFormidable,aJavaScriptconsultancyandopensourcesoftwareorganization.HehelpstoauthorandmaintainFormidable'sexpansiveopensourcerepertoire,andcontributesactivelytoprojectslikevictory,spectacle,webpack-dashboard,andurql.Overthepastyear,ParkerhasbecomeanactivecontributorintheReasoncommunityworkingonreason-react,revery,andwonka.Mostrecentlyhehasauthoredreason-urql,afully-featuredGraphQLclientforReasonandOCaml.

EnhancingAngklungMusicRehearsalswithModernTech

9/133:30pm-4:10pm,StifelTheatrePeabodyLounge

AngklungisatraditionalmusicalinstrumentfromIndonesia.Thisinstrumenthasalotofvarietyinhowitisperformed;acommonformatistheorchestralformatinwhich15-30playersgathertoformateam.Playingangklunginthiswayisfunbutalsopresentssomechallengesthatarehardtosolvemanually.Inthistalk,wewilllearnhowtechnologyisusedtoimprovethequalityofrehearsalsofthisage-oldinstrument.

First,IwillintroducetheAngklung,andexplainthekeyconceptsofanAngklungteam.Then,IwillshowyouthemanualprocessesinvolvedinforminganAngklungteam,andhowthoseprocessescanbeautomated,increasingefficiencyofrehearsalsandqualityofthemusicitself,withthehelpoflanguage-agnosticalgorithmsinterfacedbyawebapplication.ThisinvolvesreadingAngklung-specificsheetmusicofasong(writtenincipher/numbernotation),assessingthedistributionofnotesinthatsong,andfinallycalculatingthemostoptimaldistributionofAngklungforateambasedonseveralimportantfactors.IwillalsoshowsomeactualcodesamplesanddemonstrateanapplicationofthealgorithmwritteninPython,toshowhowanAngklungteamisformedinreallife.

TrapsiloBumi-gh:tbumi-HENNGE

BumiisaSoftwareDeveloperforHENNGE,basedinTokyo,Japan.He'salwaysexcitedinchallengeswhetheritbetinkeringwithnewtechorsharingitwithothersthroughtalks.Whenhe'snotcoding,hecanbeseentravelling,boardgaming,orplaying(andconducting)Angklung.

AssistiveAugmentation:LipReadingwithAI

9/133:30pm-4:10pm,StifelTheatrePremier

IntheUSalone,approximately3%ofthepopulation(10million)areeitherdeaforhavemoderatetoprofoundhearingloss.Thisis3timesasmanypeoplethanthoseinwheelchairsyetreasonabledisabilityaccommodationsforthedeaforhearingimpairedonlyrequireanASL(AmericanSignLanguage)interpreterincertaincircumstancessuchinofficialpolitical,legal,education,lawenforcement,andemploymenteventsandsituations.Theproblemwiththisisthatonlyafractionofthefunctionallydeaf(250-500thousand)speakASL(alsocalled"signers")andsituationsthathaveaccommodationsarefewandfarin-betweenanywaysohowcanthehearingimpaired

engagewitheventsliketherestofusandespeciallythosethatdon'thaveinterpreterssuchasmeetups,conferences,anddebates.

Existingsolutionsfocusstrictlyonprovidingclosedcaptionservices,whenavailable,videorelayservices,whicharemoresuitablefortwowaycommunication,orspeechrecognitionwhichcanworkverywellbutsincetheyappearonadifferentscreendon'tallowthedeafpersontoengagewiththeeventasjustanotheraudiencemember.

Howcandeeplearningmethodssolvethisproblemwithlipreading?

SergMasis-gh:smasis001-IllinoisInstituteofTechnology

DataScientistat3DprintermanufacturerFormlabs,agraduatestudentatIllinoisTech,acomputerscientist,aformerwebmasterforoneofthelargestpokersitesintheworld,thefounderofasearchenginestartupfocusedonuser-behavioranddecision-makingandsomeonepassionateaboutusingdataandtechnologytoimprovepeopleslives.

Uptime15,364days-TheComputersofVoyager

9/133:30pm-4:10pm,StifelTheatreTheater

TheVoyager1andVoyager2spaceprobes,bothlaunchedin1977,eachhadaprimaryobjectivetoexploreJupiterandSaturn.Thisgoalwasachievedby1981.YetVoyager,NASA'slongestrunningmission,hascontinuedtothisday.BothVoyagerprobesarestilloperating,andreturningscientificdatafromoutsideoursolarsystem.

ThistalkexploresthecomputingsystemsofVoyager-thesystemswhichenableremotecontrolofthespacecraft,andprovidefortherecordingandreturnofdatatoEarth.Thesesystemshaveprovedtobebothadaptable,durable,andresilientinsupportofascientificundertakingnowinit'sfifthdecade.

WhatcanwelearnfromtheengineeringofVoyager'scomputingsystems?Whyhavetheysurvivedforsolongintheharshenvironmentofspace?Whatisinvolvedinpatchingasystemfromabillionmilesaway?Andwhatdoesthefuturehold?

AaronCummings@btvaaron-gh:aaroncummings

AaronCummingsisasoftwaredeveloperworkinginthesemiconductorindustry,currentlyleadingateamworkingontoolsforbuildingandtestingembeddedmemories.Hehashadalongtermfascinationwiththespaceprogram,andhasbeeninterestedinVoyagersinceseeingthepicturesreturnedfromJupiterandSaturninthe1980s.

FormalSpecificationandTamingOtherPeople'sTech

9/133:30pm-4:10pm,UnionStationGrandF

FormalspecificationsarenotjustforacademicsandhaveapplicationswaybeyondcheckingalgorithmslikePaxosandRaft.Joinusforatourofusingformalspecificationsforeverydaysystemdesign.Ifyou'veeverconfiguredaloadbalanceroramessagequeuethenyou'realreadydoingthekindofengineeringworkthatformalspecificationswereintendedfor.Thistalktellsthestoryofareallifeinproductionsystembuiltwithcommonopensourcetechnologiesthatwasstrugglingwithgrowthandhowweuntangleditsbuilt-inassumptionsandreworkeditsdesignusingformalspecifications.

MarianneBellotti@bellmar-gh:mbellotti-Auth0

MarianneBellottirunstheInternalServicesteamatAuth0,whichworkscloselywithSREtobuildhighlyscalableservicesforotherengineeringteams.Shehasanobsessiveloveofcomplexstrugglingsystems--theolderthebetter--andspentthreeyearsrescuingsuchsystemsfortheFederalgovernmentaspartofUnitedStatesDigitalService.

Thestrangeloopmakingparasiticinsectsourfriends

9/133:30pm-4:10pm,UnionStationRegencyAB

Thehistoryofecologyandfunctionalprogrammingareintertwined.TheFibonaccisequence,commonlyusedtoillustraterecursionforlearnersoffunctionalprogramming,wasinitiallycreatedtomodelapopulationofrabbits.In1935,theentomologistJohnNicholsonandthephysicistVictorBaileypublishedTheBalanceofAnimalPopulations.Theyproposedequationstorepresentthepopulationinteractionbetweenaparasiticwaspanditsinsecthost.AttheheartoftheNicholson-Baileymodelisamutuallyrecursiverelationship:astrangeloop.Thetwopopulationsdependuponeachotherandwillrecurseforeverorcrashastheybothapproachzero.Themodelbecameaparadigminecologicalmodelingandisanessentialtoolinthefieldofbiologicalcontrol,whereinsectparasitesthatlaytheireggsinsideaninvasivepestspeciesareaugmentedforpestmanagement.However,Nicholson-Baileytypemodelsusedinbiologicalcontrolstudiesrarelyutilizehigh-levelprogramminglanguagetools.Generationsisanopen-sourcePythonpackagecontainingparameterizablemodulesforunderstandingthepopulationdynamicsofbiologicalcontrolinsectsandtheirtargetplants(invasiveweeds).Generationsmodelstheresponseofaninvasiveplantpopulationtoanherbivorousparasite,throughasetofrecursivefunctions.Comelearnhowfunctionalprogrammingisusedtofindorganicsolutionstoinvasivespeciesproblemstosavenativeecosystemsandminimize

theuseofpesticides.

MaryMarek-Spartz@mMarekSpartz-gh:alfalimajuliett-UniversityofMinnesota,TwinCities

IamanEntomologyPhDstudentattheUniversityofMinnesotaworkingonweedbiologicalcontrolprojects.IhaveaMaster'sdegreefromSt.Mary'sUniversityofMinnesotainGeographicInformationScienceandIhavebeenanadjunctinstructortheresince2016,teachingprogrammingprinciplesforGISanddatainformaticsandgeospatialanalysis.IhaverecentlybeenworkingwithPython,R,andJavaScript.Inmysparetime,Ienjoyworkingonnaturalscienceillustrationsasawayofcombiningmytechnicalandcreativeskills.

BuildingaUnifiedCancerImmunotherapyDataLibrary

9/133:30pm-4:10pm,UnionStationRegencyC

Theintroductionofimmunotherapieshasrevolutionizedthetreatmentofcancerandusheredinacorrespondingexplosionofresearchintocancer,theimmunesystem,andtheirinteraction.InSeptember2018,therewere3,394CancerImmunotherapyagentsbeingtestedinclinicaltrials-a67%increasefromthenumberofagentsbeingtestedoneyearearlier.Withthisexplosioninresearchcomesanexplosionofdataandthechallengeofkeepingtrackofandunifyingpublishedandpublicdatasothatresearchorganizationscanstayontopofthefield.

Toaddressthischallengewe'vecreatedCANDEL,theCancerDataandEvidenceLibrary,adatabasesystemthatleveragesDatomictostoreindividualmolecularmeasurementsandclinicalsamplemetadatainasingleknowledgebase.Datomic'sschemaisexpressive,allowingustomapthevarietyofrepresentationsdifferentorganizationsandresearchersworkwithintoacommonform,aswellastocapturenewconceptsasourknowledgeofmolecularandcancerbiologyevolves.

DatacanbeloadedinthesystemwithoutknowledgeofDatomicinternalsbyusingaconfigurable,data-drivenETLpipelinewedevelopedinClojure.DatascientistscantakeadvantageofthefullpowerofdatalogqueriesdirectlyfromtheirexistingRanalysisenvironment.Furthermore,Datomic'simmutablehistoryensuresanyanalysiswillbereproducible,enablinglargeteamstocollaborateoncomplexanalysisprojectswitheaseandconfidence.

LaceyKitch-gh:ParkerICI-ParkerInstituteforCancerImmunotherapy

LaceyisDirectorofInformaticsatTheParkerInstituteforCancerImmunotherapy(PICI),anonprofitthataimstoacceleratethedevelopmentofImmunotherapiesandgetthemtopatientsfasterthroughenablinggreatresearch.Shehasbeenapplyingdatascienceandmachinelearningtobiologicalandhealth-relateddatasetsformanyyears,includinginherPhDworkatStanford,whereshedevelopednovelalgorithmstoanalyzeopticalbrainimagingdatatolearnaboutmemory.Now,shefocusesonthedevelopmentofdatainfrastructureanditsapplicationintranslationalanalysisatPICI.Asacancersurvivorherself,she'spassionateaboutPICI'scause,andbelievesthatthere'satonthatgoodtechnologycancontributetoacceleratingcuresforcancer.

BenKamphaus@benkamphaus-gh:benkamphaus-Cognitect,Inc.

BenKamphausisasoftwaredeveloperanddatascientistatCognitect.HehasaPhDinGeographyfromSUNYBuffalowherehegothisinitialexposuretointerdisciplinarychallengesindatainfrastructure,includingtheuseofontologies,RDF,andotherapproachestofindingandexpressingcommondatarepresentations.ThesedayshereliesheavilyonClojureandDatomictostaysanewhenmovingdatabetweensystemsandusecontexts.Inhisfreetimehehikes,runs,climbs,writessciencefiction,andproduceselectronicmusicasPatternShift.

ASTRIAGraph:MonitoringGlobalTrafficinSpace!

9/134:30pm-5:20pm,StifelTheatreTheater

ASTRIAGraph:Towardanopen,transparent,andcrowdsourcedspacetrafficandenvironmentmonitoringandawarenesssystem

ÂTheUSdepartmentofdefensetracksapproximately26000residentspaceobjects(RSOs)rangingfromthesizeofasoftballtoaschoolbus.Fromthese,roughly2000areactivelycontrolledandÂallÂelseareeffectivelyspacegarbage.Assuch,theydonottransmittheiridentitiesmakingthemmoredifficulttotrack.Trackingisunderstoodasbothdetectinganobjectandpositivelyidentifyingit.Mostoftheseobjectsaremeasuredaspointdetections(i.e.non-resolved).Astrodynamicsisthesciencethatstudiesmotionofresidentspaceobjects.TherearefourfieldeffectsdrivingRSOmotion:gravitational,radiative,particulates,andgeomagnetic.Ofthese,onlythegravitationalfieldeffectsareindependentoftheRSO'sphysicalcharacteristics.Thequestionthenis,howdowepositivelyidentifyÂallÂoftheRSOsinthepopulationandthusimproveourabilitytopredicttheirbehaviortosatisfyagrowingneedforspacesafety,security,andsustainability?Moreover,howdowedothisinthepresenceofuncertaintydrivenbybothrandomnessandignorance?Dr.ÂJahÂwilldescribecurrentstateofpractice,comparethistostateoftheart,andidentifyscientificandengineeringgapsthatareinneedofbeingsatisfied.HewillalsoprovideasummaryofhisresearchprogramatUTAustinandhowthisfocusareafitsintoalargervisionofrigorousandcomprehensivespacesituationalawarenessandspacetrafficmanagement.

MoribaJah@moribajah-UniversityofTexasatAustin

Dr.ÂMoribaÂJahÂisthedirectorforComputationalAstronauticalSciencesandTechnologies(CAST),agroupwithintheOdenInstituteforComputationalEngineeringandSciences(ICES)atTheUniversityofTexasatAustin.Dr.JahÂcametoUTAustinbywayoftheAirForceResearchLaboratoryandNASA'sJetPropulsionLaboratorypriortothat,wherehewasaSpacecraftNavigatoronseveralMarsmissions.HeisaTEDFellow,aFellowoftheAmericanInstituteofAeronauticsandAstronautics(AIAA),theAmericanAstronauticalSociety(AAS),theRoyalAstronomicalSociety(RAS),theInternationalAssociationfortheAdvancementofSpaceSafety(IAASS),andtheAirForceResearchLaboratory(AFRL).Dr.JahisalsoanelectedmemberoftheInternationalAcademyofAstronautics(IAA)aswellastheInternationalInstituteofSpaceLaw(IISL),hastestifiedtotheUScongressonhiswork,andhasbriefedtheUnitedNationsCommitteeOnpeacefulUsesofOuterSpace(UN-COPUOS)asaninvitedmembertotheUSdelegation.MoredetailsatÂhttps://en.wikipedia.org/wiki/MoribaJah

Unsession:TheDutchCallit"Niksen"

9/137:00pm-8:00pm,UnionStationGrandF

Inatimewheneverythingcanbeoptimizedforproductivity,thereisalwayssomethingyoucouldbedoing.Whatifwemadetimeto"donothing"asanantidotetoallthesesomethings?TheDutchcallit"Niksen."And,asresearcherCarolienHammingisquicktopointout,theydidnotinventordiscoverthis.Ithasbeenathreadthroughoutcultures.Recentresearchindicatesa"purposeless"approachhelpsmanagestress&recoverfromburnout.JennyOdell'srecent"HowtoDoNothing"evenoffersthisasanapproachto"StandApart",wherechoosingto"donothing"becomesquitemeaningful.Asameditatingcoach,Andrewwillprovideanintroductiontopicandofferanoptionalguidedmeditationinatechniqueaptlynamed"DoNothing."(Also,itshouldbeacknowledgedthistopicsitsprecariouslyinatimewhenchoosingto"donothing"comesoutof,orsignals,privilege;though,thisapproachmaybeanactofself-preservation.Thetopicisofferedforconsiderationwithourcontextinmind)

AndrewLenards@alenards

Unsession:GettinginthesaddlewiththePonyprogramminglanguage

9/137:00pm-8:00pm,UnionStationRegencyAB

Ponyisatype-safe,compiled,actor-basedprogramminglanguagethatprovidescompile-timedatasafetyguarantees.Twoofthemostinterestingfeaturesarethereferencecapabilitysystemthatguaranteessafetybycontrollinghowobjectscanbesharedbetweenactors,andtheevent-basedruntime.InthissessionI'llspendsometimeintroducingPonyandthenanswerquestionsandwalkthroughsomecode.BytheendofthesessionparticipantsshouldfeelliketheyknowwhatmakesPonyuniqueandhaveagoodfeelforthekindsofproblemstheymighttacklewithit.

AndrewTurley@casio_juarez

Unsession:Crux-buildyourownbitemporaldatabase

9/137:00pm-8:00pm,UnionStationRegencyC

Crux,asfeaturedearlierthesamedayin"TemporalDatabasesforStreamingArchitectures",isanunbundleddatabasethatprovidesbitemporalversioning,evictionandconsistentad-hocDatalogqueriesontopofKafka.Wewillwalkthroughafewinterplanetarytutorials,liftthehoodonsomeinterestinginternals(Clojure!)andgiveatouroftheuserinterface.Q&Athroughout.

JeremyTaylor

JonPither

LightningTalks

9/138:00pm-9:00pm,UnionStationGrandF

TBD

Unsession:End-to-endTypeSafetywithGraphQL

9/138:00pm-9:00pm,UnionStationRegencyAB

Inmostwebapplications,thefrontendandbackendofaprojectaretiedtogetherbyaRESTAPI,withlittle-to-noguaranteethatchangestothebackendortheAPIwillnotbreakthefrontend.Inthissession,wewillcoverhowGraphQL'sstronglytypedschemacanprotectyoufromeverbreakingyourclient-serverAPIcontractagain,savingyoucountlesshoursonmistakes,typos,andincompatibilities.WewilldemonstratehowyoucanuseGraphQLtoolingtoseamlesslyexploreyourAPIschemawithautocomplete,generatecustomTypeScript/FlowtypesbasedonyourAPIqueries,andintegratethosetypestoachievefulltype-safetyfromthebackendallthewaytothefrontend.Joinusifyou'recuriousaboutGraphQLorifyou'vebeenusingitforyears-nomatterthelevelwe'rehappytochat!

JoãoPeixoto@joaomppeixoto

KristieHoward@kristiehow

Unsession:Healthcaretech,HIPAA,HITRUST,andPHI

9/138:00pm-9:00pm,UnionStationRegencyC

Chataboutthequirksofworkinginhealthcaretech,signingBAAs,audits,querylogging,theincrediblefrustrationofamericanhealthcarepayersystems(insightonothercountriesverywelcome!),flat-files,pharmacyAPIsandpharmacyswitchintegration.IfyouwereatHIMSSwe'dlovetoheararecap/highlights:)

@compiledwrong

Unsession:TheStateOfWirelessRadioTechin2019

9/139:00pm-10:00pm,UnionStationRegencyAB

Let'ssitdownandchataboutvariouskindsofwirelessradiotech(LoRA,LTE(4G/5G/NB),Bluetooth,Sigfox,andstuffIdon'tknowmuchaboutlikeWize),theirpositivesandnegatives,andthecurrentstateofPANs/LPWAN/meshstacksandradiotechforboththetinkererandcommercialuses.ThiswillbelessofadirectedsessionandmoreofabasicoverviewleadingintoaQ&A+roundtablechatforthecuriousand/ortheinterested.

BenLeggett@bleggett

Unsession:Datomic

9/139:00pm-10:00pm,UnionStationRegencyC

ComediscussDatomicwithotherusersand(atleastone)memberoftheDatomicteam.ShortintrotoDatomicandlotsofQ&A

MarshallThompson

BenKamphaus

HowComputersMisunderstandtheWorld

9/149:10am-10:00am,StifelTheatreTheater

AIofferssomanyexcitingpossibilitiesforcampuses,corporations,andcommunities.However,aswelooktothefuture,wemustkeepinmindthattechnologyhasfundamentallimitsandAIisnotamagicbulletthatsolvesallsocialproblems.Inthistalk,authorandprofessorMeredithBroussardlooksattheinnerworkingsandouterlimitsofAIandargueswhyweshouldneverassumethatcomputersgeteverythingright.Makingacaseagainst"techno-chauvisnism"-thebeliefthattechnologyisalwaysthesuperiorsolution-Broussardlooksatwhyself-drivingcarsdon'tactuallyworkandwhyadigital"utopia"willstillharborthesocialproblemsweexperiencetoday.Sheexploreshowunderstandingthelimitsofwhatwecandowithtechnologyallowsustomakebetterchoicesaboutwhatweshoulddowithtechnologytomaketheworldbetterforeveryone.

MeredithBroussard@merbroussard-NewYorkUniversity

MeredithBroussardisanassistantprofessorattheArthurLCarterJournalismInstituteofNewYorkUniversityandtheauthorof"ArtificialUnintelligence:HowComputersMisunderstandtheWorld."Herresearchfocusesonartificialintelligenceininvestigativereporting,withaparticularinterestinusingdataanalysisforsocialgood.SheisanaffiliatefacultymemberattheMooreSloanData

ScienceEnvironmentattheNYUCenterforDataScience,a2019ReynoldsJournalismInstituteFellow,andherworkhasbeensupportedbytheInstituteofMuseumandLibrarySciencesaswellastheTowCenteratColumbiaJournalismSchool.AformerfeatureseditoratthePhiladelphiaInquirer,shehasalsoworkedasasoftwaredeveloperatAT&TBellLabsandtheMITMediaLab.HerfeaturesandessayshaveappearedinTheAtlantic,Harper's,Slate,andotheroutlets.FollowheronTwitterÂ@merbroussardorcontactherviameredithbroussard.com.

ComplexitiesofColorinComputing

9/1410:20am-11:00am,StifelTheatreEncore

Mostofusdon'tquestiontheassumptionswemakeaboutcolorandhowweimplementitinthetechnologywebuild,beyondperhapsaquickcontrastcheck.Thisinattentiontocolorisagravemistake,asthehistoryofcolorincomputingisvibrant,anditsimpactonourlivescanbesignificant!Inthistalk,welearnaboutthedifferencebetweenEuclideandistanceanddelta-ebetweencolors,andhowitcanbreakADAcompliance,crashyourAI,andtrickyourfacialrecognitionsoftwareintothinkingyoudon'texist,allwithoutraisinganeyebrow.

Handwork(knitting,crocheting,cross-stitching,etc.)duringencouraged.

EllenWondra@ln1draw-gh:ln1draw

EllenWondraisa6foot7fire-breathingmountaingoatinthewildsofEasternWashington.I'mjustkidding,butIhadyouworriedforaminutethere,huh?

EllenwasamemberoftheinauguralclassoftheAdaDevelopersAcademyintheFallof2014andithasgivenheranimmenseamountofrespectforthevalueofempathy,community,andhumanityintechnology.Shelikesworkingattheintersectionoftechnologyandart,particularlythefiberarts.Shehascross-stitchedmorethanafewQRcodes,andherfavoritesideprojectisprobablyStitchifier,agemthattakesapictureandreturnsacountedcross-stitchpattern.AskHerAboutHerCats.

CanAndroidsConceiveofElectricSheep

9/1410:20am-11:00am,StifelTheatreOvation

Whatbeganasahackathonprojectturnedintoaminorobsession...

Afewyearsago,Iwroteascriptthatturnsaphotointoananimationofahanddrawingthephoto.AtfirstitwasjustafunhackbutasIironedouttheperfections,Iencounteredseveralinterestingproblemsandfoundsomenovelapplications.HowcanItweaktheanimationtobettersimulatehumanbiomechanics?HowcanIsequencetheanimationtosimulatehumancognition?HowcanIaltertheoriginalimagetosimulatehumancreativity?Howcaninterprettheobjectsandsymbolsintheoriginalimagetosimulatehumaninsight?Canthisdigitalalgorithmicartistinspireusasmuchasit'sanaloghumancounterparts?

InthistalkI'llanswerthosequestionsandmoreasIsharethestorybehindmyattempttocreateanandroidartist.

KwameThomison-gh:Kwamenum86-MagneticInc

KwameisanengineeringleaderwithexperienceatcompanieslikeFacebook,Asana,andMeebo.He'scurrentlyanengineeringleadershipcoachandadvisor.Inhisfreetimehemostenjoysdreamingupideasthatdidn'texistbeforeandmakingthemareality.

Federatedlearning:privatedistributedML

9/1410:20am-11:00am,StifelTheatrePeabodyLounge

Federatedlearningisawaytodomachinelearningwhentrainingdataispartitionedbetweennodesthatareeitherunableorunwillingtoshareit.

Thenodescanbeembeddeddevices,smartphonesorevenlegalentititieslikecompaniesorcountries.TheycanbeunabletosharethedatabecauseofengineeringconstraintslikebandwidthorpowerorlegalbrightlinessuchasHIPAA.Ortheycanbeunwillingtosharethedatabecauseof(verylegitimateandtopical!)concernsaboutthesecurity,commercialexploitationandprivacyofsensitivepersonaldata.

Federatedlearningallowsthenodestocollaboratetotrainamachinelearningmodel,withoutneedingtosharedirectaccesstotheirtrainingdatawitheachotheroracentralauthority.Insteadtheyeachsharepartiallytrainedmodels.

Thistalkwillexplaintheseideasinmoredetail.I'lldescribeaspecificinstanceofafederatedlearningalgorithm(calledfederatedaveraging),andI'llexplainthewaysinwhichtherealworldfullofmaliciousactorsanddistributedsystemscomplicatesthenaivepicture.I'llthentalkabouttheresearchthatisgoingonrightnowtohardensecurity,reducecommunicationcosts,andstrengthenprivacyguarantees.

Thehopeisthat,withfederatedlearning,wenolongerneedtogiveupourprivacyinordertouselife-saving,money-saving,helpfulandfunmachinelearningmodels.

MikeLeeWilliams@mikepqr-gh:williamsmj-Cloudera

MikeLeeWilliamsisanengineeratClouderawhereheworksonmachinelearningandproductsthatmakemachinelearningeasier.WhilegettinghisPhDinastrophysicshespent2%ofhistimeobservingtheheavensinbeautifulfarwestTexas,andtheother98%tryingtofigureouthowtofitstraightlinestodata.HeoncedidapostdocattheMaxPlanckInstituteforExtraterrestrialPhysics,which,amazingly,isarealplace.

BeyondAlt-Text:TrendsinOnlineAccessibility

9/1410:20am-11:00am,StifelTheatrePremier

Ifyou'relikethe2016versionofme,thenyouthinkyouhaveadecenthandleonwebaccessibility.Youputaltattributesonallyourimages(thoughyoudon'tgivemuchthoughttotheactualtext)andyoumakesureyoursitescanbeusedwithakeyboard(exceptforoverlayssometimes).Thenthedaycomeswhenyou'regivena100pageaccessibilityauditfromaclientandadeadlineforallissuestobefixed.Whatishighcontrastmode,youaskyourself,andwhydoesitmatteriftheselinksareimplementedinalist?

Thefactisthatwetakeforgrantedthatpeopleareabletousethesiteswecreate.Asgovernmentspasslegislationenforcingaccessiblestandards,thewebisplayingcatchuptothephysicalspacesweuseeveryday.Userinterfacesarebecomingmoresophisticated,andit'seasyfordevelopers&designerswithoutdisabilitiestooverlookthesimplethingsthatmanyrelyontomakesenseofyoursite.

InthispresentationI'llsharesomeofthehardlessonsI'velearnedoverthepastfewyears,frombothadevelopmentandaprojectmanagementperspective.Topicsdiscussedwillincludeanoverviewofcommonaccessibilityproblems,toolsIusetovalidateaccessibilityissues,andbestpracticesfortrainingyourteam.

IanForrest@ianforr-BiblioCommons

IanisanEngineeringManagerbasedoutofToronto.CurrentlyheworksatBiblioCommons,whereheleadsthedevelopmentofamulti-siteWordPressapplicationusedbypubliclibrariesinovertwentycitiesincludingSt.Louis,Chicago,andBoston.Hehasalsohadsomesuccessfulsideprojectsincludinggradient-animator.com,aCSSgeneratorforanimatedgradients.Inhisfreetimeheenjoyswatchingoldmoviesandhopelesslycheeringforlocalsportsteams.

HowWeTellStoriesInCode

9/1410:20am-11:00am,StifelTheatreTheater

Ifyouyouasktheexpertshowtowrite'good'software,theywilllikelyemphasizeprecisionandpredictability.Theymayrecommendgreattoolslikefunctionalprogramming,immutability,testing,andtypesystems-allofwhichaimtomakesoftwaremorereliable.Butsoftwaremustinteractwiththerealworldtobeuseful,andtherealworldalwayspresentsscenariossoftwaredoesnotaccountfor.Youcan'twritegoodsoftwarebytryingtoarchitectunpredictabilityoutofyourprogram.Towritegoodworkingsoftware,youmustbuildsystemsthatworkwelleventhoughtheyareunpredictableandincomplete.Yourcodehastodescribeandsolvearealworldproblemwithoutaccountingforalldetailsoftheproblem.Goodsoftwaretellsanarrative,butlikeallnarrativesleavesthingsout.Maybegoodprogrammersarereallyjustgoodstorytellers.

Storytellingisaprocessthatwedoallthetime,includingwithourpersonalhistories.Storytellingbothapproximatesthetruthandinfluencesourreality-thestorieswetellaffecthowwerememberthepastandbehaveinthefuture.Thishasinterestingimplicationsforwritingsoftware-thesystemswedesignaffectandchangethenatureoftherealproblemsthey'redesignedtoaddress.Andthestorywetellincodeisdirectedasmuchtootherprogrammersasitistothemachinethecoderunson.Recognizingthemessy,veryhumannatureofwritingsoftwareteachesustotrustourintuition,andmakesusbetterprogrammers.

HannahHoward@techgirlwonder-gh:hannahhoward

HannahHowardisaseniordeveloperandtechgeneralistwithover15yearsexperienceinprogrammingandothertechnicalfields.Priortoprogramming,Hannahworkedfor10yearsinthenon-profitsectorinLosAngeles,specializinginLGBTadvocacyandcommunityorganizing.Hannahreturnedtocodingin2012,andbringsherpassionandexperiencefromcommunityorganizingtohelpingnewprogrammersgetuptospeedontechnicaltopics.

Securingcloudapplicationsandtheircredentials

9/1410:20am-11:00am,UnionStationGrandF

Withtheriseofcontainerizedcloud-basedinfrastructure,securityinthesearchitectureshasbeenanareathathasbeenoftendeferredtodevelopersand"shadowIT"becausethetoolsandtechnologiesusedpreviouslyhavehavenotbeenasquicktocatchup.Whiledevelopersgenerallymakereasonabledecisionsaboutsecuringworkloads,pushesforhighervelocityendupcausingsimple

implementationmisconfigurationsthatexponentiallyincreasetheattacksurface.Attendeeswilllearncommoncontainersecurityproblemsaswellashowtoincreasesecurityofyourappsbothonthecontainerandschedulerlevel.Wewillalsocoversomeofthenext-gentoolingandseewherelong-termsecurityinitiativesareheadinginthisspace.

SrdjanGrubor@sgnn7-gh:sgnn7-CyberArk

SrdjanGruborisanR&DsoftwareengineerwhoworksatCyberArkonnext-gensystemstosecurecloud-basedsystems.Srdjanistheauthorof"DeploymentwithDocker"book,wasoneofthefirstpeopletoreceiveaDockerCertifiedAssociatecertification,andhasworkedonLinuxsystemsat-scaleforoveradecade.Heenjoysbreakingthingsjusttoseehowtheywork,tinkering,andsolvingchallengingproblems.

MinimalistPianoForever

9/1410:20am-11:00am,UnionStationRegencyAB

FrenchcomposerErikSatiewastheforefatherofavant-gardemusic,thefounderofaone-manoccultsect,andtheinventorofentirelynewgenresforhishauntinglyrepetitive,minimalistpianoworks.Personally,Icouldlistentohis"Gnossiennes"forever,soIcreatedawaytodoso,usingdigitalsheetmusic,markovchains,andbrowser-basedmiditocreateagenerative,unendingGnossienne.Thistalkwillexplorethestrategies,algorithms,andlibrariesIusedtogofrom19thand20thcenturypianomusictogenerativeaudioandon-the-flysheetmusicinthebrowser.Itfeaturesforaysintotopicsrangingfromhowtomakecomputergeneratedmusicsoundmorenatural,toErikSatie'sverypeculiarlife.

MouseReeve@tripofmice-gh:mouse-reeve-InternetArchive

MouseisasoftwareengineerattheInternetArchive,workingonpreservingthewebandmakingitfreelyavailabletoanyoneontheinternet.Theyhaveanacademicbackgroundinanthropologyandmathematics,withstronginterestsinlinguistics,generativeart,andhistoricaloccultism.Mousecreatedtheinternet'sbestsocialnetworkwherenooneisallowedtousethelettere,anddabblesinveganpatisserie,socialjustice,andlookingatflowers.Theycareverydeeplyaboutnonsense.

Whydotreeensembleswork?

9/1410:20am-11:00am,UnionStationRegencyC

Ensemblesofdecisiontrees(e.g.,therandomforestandAdaBoostalgorithms)arepowerfulandwell-knownmethodsofclassificationandregression.Thistalkwillsurveyworkaimedatunderstandingthestatisticalpropertiesofdecisiontreeensembles,withthegoalofexplainingwhytheywork.Aftersketchingthealgorithms,wewillgiveaninitialexplanationfortheireffectivenessviagenericarguments(bias-variancedecomposition,Hoeffding'sinequality),thenproceedtomoredetailedtopics(theinterpretationofrandomforestsaskernelmachines,theroleofthemargin,interpolation).Theaudienceisexpectedtohavesomeexperiencewithsupervisedlearningandstatisticalarguments.

JoeRoss@robusteza-SignalFx

JoeRossholdsaPhDinmathematicsfromColumbiaUniversityandwasaresearcherandinstructorinpuremathematics,mostrecentlyattheUniversityofSouthernCalifornia.Hehasgivenmorethan20talksabouthisresearchatconferencesanduniversitiesthroughouttheworld(Germany,Japan,Turkey,USA).Hehasalsobeentheprimarylecturerformanyundergraduateandgraduatemathcourses,andhasgivencountlessinformalseminars.Hehas9publicationsinpeer-reviewedmathematicsjournals.Joehasworkedasadatascientistatmachinelearning/analyticsstartupsforfiveyears;inhiscurrentrole,hefocusesonavarietyoftimeseries(anomalydetection,forecasting,correlation)andsamplingproblemsthatariseinmonitoring.

CompactingtheUncompactable

9/1411:20am-12:00pm,StifelTheatreEncore

ProgramswritteninC/C++,cansufferfromseriousmemoryfragmentation,leadingtolowutilizationofmemory,degradedperformance,andapplicationfailureduetomemoryexhaustion.ThisproblemextendstolanguageslikeRubyandPython,wherethestandardinterpretersfortheselanguagesarethemselvesCprograms.ThistalkintroducesMesh,aplug-inreplacementformallocthat,forthefirsttime,eliminatesfragmentationinunmodifiedC/C++applicationsthroughcompaction.Akeychallengeisthat,unlikeingarbage-collectedenvironments,theaddressesofallocatedobjectsinCandC++aredirectlyexposedtoprogrammers,andapplicationsmaydothingslikestashaddressesinintegersorstoreflagsinthelowbitsofalignedaddresses.Thishostileenvironmentmakesitimpossibletosafelyrelocateobjects,astheruntimecannotpreciselylocateandupdatepointers.Meshcombinesnovelrandomizedalgorithmswithwidely-supportedvirtualmemoryoperationstoprovablyreducefragmentation,breakinglong-establishedworst-caseboundsonmemoryefficiencywithhighprobability.Meshgenerallymatchestheruntimeperformanceofstate-of-theartmemoryallocatorswhilereducingmemoryconsumptionandeliminatingpathologicalcases;inparticular,MeshreducesthememoryofconsumptionofFirefoxby16%andRedisby39%.ThereareeffortsunderwaytoincorporateMesh'sapproachtoeliminatefragmentationintoexistingallocators,likejemalloc.

BobbyPowers@lilbobbypowers-gh:bpowers-UniversityofMassachusettsAmherst

BobbyisaPhDcandidateinthePLASMALabatUMassAmherst,andasoftwareengineeratStripe.Hisinterestsspansystemsandprogramminglanguages,withafocusonmakingexistingsoftwaremoreefficient,moresecure,andusableinnewcontexts.

NetworkingandGo:AnEngineer'sJourney

9/1411:20am-12:00pm,StifelTheatreOvation

MyforayintoGobeganafewyearsagowhenIstartedworkingatDigitalOcean.WhilebuildinganabstractionlayerontopofKubernetesandfamiliarizingmyselfwiththelanguage,Ibegantoloveit.Syntacticallysimple,withamazingconcurrencyprimitivesandawonderfulcommunity,Gowasanexcellentchoiceforacloud-hostingcompanywithavarietyoflow-level,server-sidemicroservices.

Inthelastyear,however,I'vejoinedthesoftware-definednetworkingteamandlearnedofanotherapplicationofGo;networkingservices.ThenetworkingteamatDigitalOceanusesGoforavarietyofpurposes-fromDHCPserverstoIPaddressmanagementservices..toevenwrappersaroundvirtualswitchtooling.Intrigued,IdecidedtoalsoinvestigatehowGocouldbeusedtobuildotherservicessuchasportscannersandload-balancers.

ThissessionwillhighlightmynetworkingjourneyviaGo.Iwilldiscussusefulpackages,keylearnings,andevenstrugglesfacedwhilebuildingavarietynetworkingserviceswithinandoutsideofDigitalOcean.Iwilldiscussbothrelevantpackageswithinthestandardlibraryandopensourcepackagesusedtoimplementkeynetworkprotocols.Asaresult,listenerswillgainanunderstandingofhowtospecificallyleverageGofortheirownnetworkingneeds.

SnehaInguva@snehainguva-gh:si74-DigitalOcean

SnehaInguvaisasoftwareengineerinthenetworkingteamatDigitalOcean.Sheenjoysbuildingcloudproductsbydayanddebuggingominouscontext-cancellederrorsbynight.Interestingly,herjourneythroughthisfantasticalfieldhastakenherfromcasinogamingto3dprintingstartups.Inhersparetime,shetakeshighqualityfashionphotographsofcatsinnature.

BuildingHaskellProgramswithFusedEffects

9/1411:20am-12:00pm,StifelTheatrePeabodyLounge

Haskellisapurelyfunctionalprogramminglanguage:bydefault,HaskellfunctionsdonotcausesideeffectssuchassystemI/O,nondeterminism,orexceptionhandling.Assuch,Haskellprogramsaregenerallyexpressedintermsofmonadtransformers,whichprovidethefacilitytocomposedifferentsideeffectsintoasingleinterfacepowerfulenoughtoexpresstheprogrammer'sneeds.Themonadtransformerlibrary,mtl,ismatureandpowerful,butcomplicatesandinsomecasesconstrainstheconstructionandgeneralizationofuser-specifiedmonads.

Aclassoflibrariesknownas'effectsystems'haveemergedinanattempttosolvetheproblemsassociatedwithmonadtransformers.Effectsystemsprovideacompositionalapproachtoprogramconstruction,generallyusingasinglemonadictypespecialzedwithaprogrammer-providedlistofcapabilities.Effectsystemsaremorepowerfulandflexiblethanmonadtransformers,buttheiradoptioninindustryhasbeenminimal,duebothtotheirincompatiblitywithmtlandtheirhistoricallypoorperformance.

Thenewfused-effectslibrarychangesthestatusquo:itprovidesanextensibleandflexiblevocabularyforprogramconstruction,yieldingamoreexpressiveinterfacethanmtlwithoutsacrificinganyperformancecharacteristics.I'lldescribethehistoryofeffectsystems,outlinethetradeoffsassociatedwithprogrammingwitheffects,anddemonstratetheuseoffused-effectsinpractice.

PatrickThomson@importantshock-gh:patrickt-GitHub,Inc.

PatrickisaseniorengineeronGitHub'sSemanticCodeteam,buildingsystemstounderstandandanalyzethecorpusofcodeonGitHub.Heenjoyspeacefulcountrysidewalksandloudrapshows.

FunctionalDevOpsinaDysfunctionalWorld

9/1411:20am-12:00pm,StifelTheatrePremier

Nixisapackagemanager,andaprogramminglanguageforwritingpackagesinthatpackagemanager,thatenablesreliableandreproduciblesoftwaredevelopmentworkflows,e.g.areproducibledevenvironment,apackagethatinstallscorrectlyeverytime,andevenpain-freeservicedeployments.InthissessionIplantodemonstratepackaginganddeployingsoftwarewithNix,afterwhichIwilltakequestionsand/orstartadiscussion.BytheendoftheunsessionparticipantsshouldhaveaworkingunderstandingofwhatproblemsNixcansolveandhowtointegrateitintotheirsoftwaredevelopmentworkflows.

VaibhavSagar@vbhvsgr-ObsidianSystems

Vaibhav(@vbhvsgr)usedtowritewebapplicationsforaliving.Hestilldoes,butheusedto,too.Whenhe'snotdoingthatheyellsabout

functionalprogrammingandpackagemanagersonTwitter,re-racksbumperplatesafterusingthem,andtrawlstheinternetforthefinestspacedisco.

CorrectnessproofsofdistributedsystemswithIsabelle

9/1411:20am-12:00pm,StifelTheatreTheater

Testingsystemsisgreat,buttestscanonlyexploreafinitesetofinputsandbehaviors.Manyrealsystems,especiallydistributedsystems,haveapotentiallyinfinitestatespace.Ifyouwanttobesurethataprogramdoestherightthinginallpossiblesituations,testingisnotsufficient:youneedproof.Onlymathematicalproof,e.g.byinduction,cancoveraninfinitestatespace.

Pen-and-paperproofsarewellestablishedinmathematics,buttheyneedtobelaboriouslycheckedbyhand,andhumanssometimesmakemistakes.Automatedtheoremproversandcomputerizedproofassistantscanhelphere.ThistalkintroducesIsabelle/HOL,aninteractiveproofassistantthatcanbeusedtoformallyprovethecorrectnessofalgorithms.ItissomewhatlikeaprogramminglanguageandREPLforproofs.

InthistalkwewillexplorehowIsabellecanbeusedtoanalyzealgorithmsfordistributedsystems,andprovethemcorrect.Wewillworkthroughsomeexampleproblemsinlivedemos,andproverealtheoremsaboutsomesimplealgorithms.Proofassistantsstillhaveaprettysteeplearningcurve,andthistalkwon'tbeabletoteachyoueverything,butyouwillgetasenseofthestyleofreasoning,andmaybeyouwillbetemptedtotryitforyourself.

MartinKleppmann@martinkl-gh:ept-UniversityofCambridge

DrMartinKleppmannisaresearcherindistributedsystemsattheUniversityofCambridge,andauthoroftheacclaimed"DesigningData-IntensiveApplications"(O'ReillyMedia,2017).Hemainlyworksoncollaborationsoftware,CRDTs,andformalverificationofdistributedalgorithms.PreviouslyhewasasoftwareengineerandentrepreneuratInternetcompaniesincludingLinkedInandRapportive,whereheworkedonlarge-scaledatainfrastructure.

Probabilisticscriptsforautomatingcommon-sensetasks

9/1411:20am-12:00pm,UnionStationGrandF

Asengineers,weloveautomatingtedioustasks.Butwhenthosetasksrequirecommon-sensereasoning,automationcanbedifficult.Consider,forexample,cleaningamessydataset-fulloftypos,NULLvalues,numbersinthewrongunits,andotherproblems.Peoplehavelittletroublefixingtheseerrorsbyhand,butitcanbedifficulttoexpresstherulesfordoingsoprogrammatically.

Inthistalk,I'llintroduceanewdeclarative-programmingapproachforautomatingcommon-sensereasoningtasks:probabilisticscripting.Probabilisticscriptsencode(possiblyuncertain)domainknowledgedeclaratively,andleavethecompilertosynthesizeanefficientinferencealgorithmthatwillsolvethetaskathand.Thisisallmadepossiblebyrecentadvancesinthefieldofprobabilisticprogramming-inparticular,programmableinferenceengines.

Iwilldemonstratehowthistechniquecanbeusedtodesignandimplementascriptinglanguageforautomatingreal-worlddata-cleaningtasks,whichachievesstate-of-the-artaccuracyondata-cleaningbenchmarks.Morebroadly,attendeeswillcomeawaywithasenseofhowprobabilisticprogrammingcanbeusedtobringcommon-sensereasoningtotheautomationofallsortsoftasks.

AlexanderLew-gh:alex-lew-MITProbabilisticComputingProject

AlexLewisaPh.D.studentatMIT'sProbabilisticComputingProject,andaleadresearcherforMetaprob,anopen-sourceprobabilisticprogramminglanguageembeddedinClojure(Script).Heaimstobuildtoolsthatempowereveryonetouseprobabilisticmodelingandinferencetosolveproblemscreatively.BeforecomingtoMIT,Alexdesignedandtaughtafour-yearhigh-schoolcomputersciencecurriculumattheCommonwealthSchoolinBoston.AnativeofDurham,NC,healsoreturnshomeeachsummertoteachattheDukeMachineLearningSummerSchool(andspendtimewithhisfamilyandtheirdogs!).

FromVideoGamestoFashion:aMachineLearningJourney

9/1411:20am-12:00pm,UnionStationRegencyAB

Gamingisarapidlygrowingindustry.Playersgenerateextremelyrichdatasetsthatrecordeachandeveryin-gameaction,socialinteraction,advieworpurchase.Becauseoftheconstantandcontinuedrelationshipbetweenplayerandgame,playerbehavioraldataconstitutesauniquesourceofinformationonhumanbehavior:asimplifieddynamicsystemthatreplicatesreallife.Â

Fashiongoesbeyondabasicneed:itisawaytoexpressourownindividuality.Thefashionindustryisoneofthelargestintheworld,representing2percentofglobalGDP,andhasstrongsocialandeconomicimplicationsworldwide.Vastamountsofdataareconstantlygenerated,rangingfromcustomerbehaviortocomplexsupply-chainsystems.Successinthefashionindustryreliesoncarefullybalancingartandscience.

InthistalkIwilldiscussthecommonchallengestobothindustriesandtheemergencyofmodelsthatscaletoreallybigdatasetsandmanagetocapturevariouskindsofconsumertastesandbehaviors.Becauseoftheimportanceofthetemporaldimension,modelsbasedonCNN,LSTMorDeepARplayacrucialroletopushbackthisnewtechnologicalfrontier.Iwillreviewhowthesetechniquescanbeusedtocreatecustomizedeventsandprovidepersonalizedpredictions.

AfricaPerianez@aperianez-Inditex

ÃfricaPeriáñezistheChiefAnalyticsOfficeratInditex.Ãfricaleadstheresearch,applicationandstrategicdevelopmentofdatascienceacrosstheorganization.Hergoalistobuildrobustmachinelearningproductstochampionfashionretailingexperience.

BeforelandinginfashionindustryÃfricafoundedYokozunaData,anAIcompanyheadquarteredinTokyothatbuiltapioneermachinelearningplatformtopredictvideogameplayerbehavior.ÃfricaholdsaPhDinMathematicsfromtheUniversityofReading,andMSc'sinStringTheoryandTheoreticalPhysicsfromCERNandtheAutonomousUniversityofMadrid.

ÃfricahasbeenMarieCurieEUresearchfellowatCERNandscientistatRIKEN,Japan(usingKcomputer)andtheGermanWeatherService(workinginsatellitedataassimilation).Sheisco-authorofmultiplepeer-reviewedarticlesandregularinvitedspeakerininternationalconferences.ÃfricahassolidindustryexperienceatSPSSInc.,IBMandSiliconStudio.HerworkhasbeenfeaturedinmediasuchasBloomberg,Quartz,Nikkei,ElPaÃs,SINC,TheEconomicTimesandTheJapanTimes.Â

AbetterstoryforKubernetessecrets

9/1411:20am-12:00pm,UnionStationRegencyC

SecretsareakeypillarofKubernetes,butanyonewithaccesstoetcdcanalltheplaintextvalues!

AttendeeswilllearntechniquesforsecuringKubernetessecretsincludingencryption,KMSplugins,andtoolslikeHashiCorpVault,andthetradeoffsofeachapproachtobettersecuretheirclusters.

SethVargo@sethvargo-gh:sethvargo-Google

SethVargoisanengineeratGoogleCloud.PreviouslyheworkedatHashiCorp,ChefSoftware,CustomInk,andsomePittsburgh-basedstartups.HeistheauthorofLearningChefandispassionateaboutreducinginequalityintechnology.Whenheisnotwriting,workingonopensource,teaching,orspeakingatconferences,Sethadvisesnon-profits.

SaturdayLunch

9/1412:00pm-1:30pm,StifelTheatreTheater

LunchisprovidedatboththeStifelTheatreANDatUnionStation.Itisdifficulttosizethemealsappropriatelyaswearesplitbetweenthetwovenues,sowe'dpreferthatyoustayatthesamevenueasthesessionyouattendedjustpriortolunch.

StifelTheatrelunch:

Option1:GrilledChickenCaesarSalad-crispromaine,parmesanandgarliccroutons,classicCaesardressingOption2:RoastLoinofPorkSandwich-Bavarianpretzelbread,tarragonmayo,sweetpeppers,arugulaVegan(servedinKielClub):Chik'nSalad-organicgrainbread,mashedchickpeas,dicedonion,carrots,relish,veganmayo,salt,pepper,paprikaGlutenfree(servedinKielClub):ChickenCaesar,nocroutons,orPorkSandwichSides-orangeorapple,cookie

UnionStationlunch(veganoptionsonbuffet,willbelabeled):

CaesarSalad,ShavedParmesan,Crouton,TraditionalDressing(deconstructed,balsamicoption)IndividualTomato&MozzarellaSaladCrackedPepper,ExtraVirginOliveOilOlive,Artichoke&SalamiSaladAssortedGourmetPizzas(GFandVegetarianOptions)ToastedRavioliwithMarinaraVegetableRavioli,LightTomatoBroth,Basil,RoastedGarlicOilPennewithRockShrimp,Peas,Pesto(GFPasta)ShavedParmesan&Tomato,GarlicBreadSticksAlmondBiscotti,Tiramisu

ExplainableAI:theapexofhumanandmachinelearning

9/141:30pm-2:10pm,StifelTheatreEncore

BlackBoxAItechnologieslikeDeepLearninghaveseengreatsuccessindomainslikeaddelivery,speechrecognition,andimageclassification;andhaveevendefeatedtheworld'sbesthumanplayersinGo,Starcraft,andDOTA.Asaresult,adoptionofthesetechnologieshasskyrocketed.ButasemploymentofBlackBoxAIincreasesinsafety-intensiveandscientificdomains,wearelearninghardlessonsabouttheirlimitations:theygowrongunexpectedlyandaredifficulttodiagnose.

Fromthesefailures,anewtrendof"ExplainableAI"hasemerged.TheseareAItechnologiesdesignedtobeintuitiveandunderstandabletotheirhumanuserswhilemaintainingthepowerandexpressivenessofBlackBoxAI.

InthistalkwewilldiscussexplainableAI:whatitis,whenandwhyit'sneeded,andhowtobuildit.Wewillexplorethefundamentaldifferencesbetweenhumanandmachinelearning,anddiscussresearchattheapexofcomputationandcognitionthathasleadtomachinesthatarenotonlyintuitiveandunderstandabletodatascientists,butcanefficientlycommunicatetheirknowledgetoanyonebyexploitinghumans'innatesociallearningcapabilities.

BaxterEaves-gh:BaxterEaves-bax@redpoll.ai

BaxterEaves,PhDiscurrentlyco-founderofRedpoll,acompanybuildinghumanisticAItohelpdrivescience.HereceivedhisPhDinexperimentalpsychologyfromtheUniversityofLouisvillewherehebuiltmachinesthatlearntotrustanddistrust.SincethenhehasworkedonprobabilisticprogramminglanguagesatMIT,MachineTeachingatRutgers,GenomicSelectionandMonsanto,andhasbeeninvolvedwiththeDARPAXDATAandPPAMLprojects.Ithasbeenhislifelonggoaltobuild,andbedestroyedby,thefirstsentientmachine.

ParserParserCombinatorsforProgramTransformation

9/141:30pm-2:10pm,StifelTheatreOvation

Multi-languagetoolsupportforsyntaxtransformationishardduetoheterogeneousrepresentationsinsyntaxandabstractsyntaxtrees(ASTs).Regex-basedsearch-and-replacefallsshortofrecognizingsyntaxthatfundamentallydelineatestreedatastructures.Recentapproachesdevelopnewstrategiesthatovercomethelimitationsofregexmatchingbutremainunderdevelopedforeasilychangingcode.Ourworkgoesonestepfurther,focusingontheproblemofenablinglightweightprogramtransformationineverylanguageforeveryprogrammer.Weshowthattheproblemcanbedecomposedwhere(1)acommongrammarexpressesthecentralcontext-freelanguagepropertiessharedbymanycontemporarylanguages(e.g.,balancedparentheses)and(2)openextensionpointsinthegrammarcustomizessyntaxhandling(e.g.,forlanguage-specificcomments)withsmallerparsers.WeintroduceParserParserCombinators(PPCs),ourkeymechanismimplementingtheseideas.PPCsareparsercombinatorsthatproduceparsersfromuser-suppliedpatterns.Generatedparsersrundirectlyonprogramsourcetomatchsyntaxofinterest(wedon'tdefineoruseanyAST),therebyliftingsyntaxrewritingtoamodularly-definedparsingproblem.Wesharelarge-scaleresultsfromrewritingcodeacross12languages(Go,Rust,Scala,andElmtonamebutafew)fortop-100mostpopularGitHubrepositories(perlanguage).Weshowover50syntacticchangesmergedinto40+oftheseprojectsusingourtool,andgiveademo.

RijnardvanTonder@rvtond-gh:rvantonder-CarnegieMellonUniversityandSourcegraph

RijnardisaPhDcandidateatCarnegieMellonUniversityandapart-timesoftwareengineeratSourcegraph.HisresearchinterestisintheoverlapofAutomatedProgramRepair,ProgramTransformation,andProgramAnalysis,withanemphasisonbringingnewadvancesinthisareatopractice.RijnardisbornSouthAfricanandholdsaMaster'sandBachelor'sfromStellenboschUniversity.

ComputerVisionandNLPforMulti-TaskFashionModeling

9/141:30pm-2:10pm,StifelTheatrePeabodyLounge

Shoprunneraggregatesmillionsofproductsfrom140retailerswhichrepresentthousandsofbrands.InordertomaketheseproductsfindableandsearchablebyusersitisimportantforShoprunnertobeabletostandardizetheattributes(style,color,patternetc)ofthesemillionsofproducts.Evenafterdefiningwhatattributestomodel,choosingthebestwaytopredictattributesisdifficultbecauseeveryproductcanberepresentedinavarietyofformssuchasimages,productdescription,title,andbrandname.Thesedifferentdatarepresentationseachhavetheirstrengthsandweaknesses.Imagesencodeinformationsuchascolorandpatternwellwhileotherattributesrelatedtolengthandcutmaybewellcapturedintextdescriptions.Thissessionwillgothroughthemulti-tasklearningensemblethattheDataScienceteamatShoprunnerhasbuiltusingbothcustommulti-taskCNNsforimagesandfine-tunedBertmodelfortextclassificationinPytorchforattributemodeling.

MichaelSugimura@sugichan014-gh:sugi-chan-Shoprunner

IamaSeniorDataScientistwhofocusesoncomputervisionapplicationsatShoprunner.InparticularIworkonbuildingattributemodelsusingmulti-taskensemblesandbuildingdetectionandsegmentationmodelsappliedtothee-commercespace.Whennotworkingondatascienceatwork,Michaelisusuallyworkingonsidedatascienceprojectsandbloggingaboutthem,doingmartialarts(WingChunKungFu,MusoJikidenEishinRyuIaijutsu,Kendo),orcooking.

EverythingYouWantedtoKnowAboutDistributedTracing

9/141:30pm-2:10pm,StifelTheatrePremier

Intheageofmicroservices,understandinghowapplicationsareexecutinginahighlydistributedenvironmentcanbecomplicated.Lookingatlogfilesonlygivesasnapshotofthewholestoryandlookingatasingleserviceinisolationsimplydoesnotgiveenoughinformation.Eachserviceisjustonesideofabiggerstory.Distributedtracinghasemergedasaninvaluabletechniquethatsucceedsinsummarizingallsidesofthestoryintoasharedtimeline.Yetdeployingitcanbequitechallenging,especiallyinthelargescale,polyglotenvironmentsofmoderncompaniesthatmixtogethermanydifferenttechnologies.Duringthissession,wewilltakealookatpatternsandmeanstoimplementTracingforservices.Afterintroducingthebasicconceptswewillcoverhowthetracingmodelworks,andhowtosafelyuseitinproductiontotroubleshootanddiagnoseissues.

HungaiKevinAmuhinda@Hungai-gh:hungaikev

HungaiisaDeveloperSupportEngineeratLightbendandco-founderofasoftwareautomationcompany(Djuaji).Hehasmorethan6yearsofexperienceinsoftwareengineering,consultingandtrainingandisanactiveopensourcecontributorandorganizerofameetupinNairobi.HeisadatanerdanddigitalentrepreneurbasedinNairobi,Kenya.HungaienjoysworkingwithGo,Scala,Rust,Kafka,Kubernetes,andSpark.

BetterIntegrationTestsforPerformanceMonitoring

9/141:30pm-2:10pm,StifelTheatreTheater

Inlate2017,Slack'slargestcustomerswereplaguedwithrelentlessperformance-relatedoutages.Ourmonolithic,spaghetticodebasewasincreasinglydifficulttoreasonabout;small,innocuouschangesmightaccidentallycauseacascadeofregressions.Afewconcernedengineersteameduptobuildatooldetectingandpreventingthesechangesfromreachingproduction.Knownas"Slerf"(for"Sl"ackP"erf"ormance),thesimplesystemrunsatopSlack'sexistingunittestingframeworkandalertsbackendengineersearlytoanypotentialregressionstheircodemightintroduce.Learnhowyoucanextendyourowntestingframeworkandimproveboththeconfidenceofyourengineersandstabilityofyourproductwhilemaintainingahighdevelopmentvelocity!

MaudeLemaire@qcmaude-Slack

MaudeisastaffengineeratSlackTechnologies,workingtoscaleboththeproductandthebackendengineeringteamtosupportsomeoftheworld'slargestcompanies.Shespendsmostofhertimechasingdownpeoplemakingnetworkcallsinaloop,refactoringunwieldychunksofcode,andtweakingdevelopertools.

PriortomovingtotheBayArea,Maudewasafront-endengineeratRenttheRunwayinNewYorkCity.SheearnedaBSc.inSoftwareEngineeringfromMcGillUniversityinMontréal,QC.Inhersparetime,she'sanavidbakerwhoenjoystakesillypicturesofherhusband.

BuildinganOpenSourceArtificialPancreas

9/141:30pm-2:10pm,UnionStationGrandF

Haveyoueverthoughtaboutwhatopensourcesoftwareorhardwarecouldachieve?Whatifitcouldhelpimprovepeople'slivesbysolvingsomeoftheirhealthproblems?

Afterthemedicaltechindustrykeptpromisingasystemtohelpautomaticallymanageinsulinfortype1diabeticpeopleandneverdelivering,somepeoplegottogethertofindwaystodoitwiththetechtheyalreadyhad.Overthepastfewyears,a"closed-loop"systemhasbeendevelopedtoalgorithmicallyregulatepeople'sbloodsugars.Afterreverseengineeringbluetoothsensorsand915MHzinsulinpumps,thesystembecamepossible.Asadiabetic,IalsobuiltthissystemandsawmysugarvaluesstabilizemuchmorethanIcouldeverachievedoingitmanuallymyself.NowI'mworkingoncontributingbacktotheprojectsaswell.

Iwanttotalkaboutthissystem,fromatechnicalsideaswellasapersonalside.I'lltalkaboutOpenAPS(theopenartificialpancreassystem)andhowitworks,whatproblemsitsolves,anditssafetyandsecurityconcerns.Ialsowanttoshowhowit'shelpedme,andwhatthismeansformyhealthnowandinthefuture.Iultimatelywanttoshowhowwe,assoftwaredevelopers,canchangepeople'slivesthroughthecodewewrite.

SarahWithee@geekygirlsarah-gh:geekygirlsarah

SarahWitheeisapolyglotsoftwareengineer,internationalpublicspeaker,andhardware/robottinkererinPittsburgh,PA.ShealsoiscurrentlytheDirectorofProgrammingforAbstractionsconference.She'shadapassionfortechsincewritingherfirstprograminfirstgrade.Shecaptivatesaudienceswithbothpopularandpowerfultechnicalandanecdotaltalks.Shegivesworkshopstoteachprogrammingandhardwarebuildingtowomenintech,aswellastostudentsofallages.She'salsomentoredyouthroboticsteamstochampionships,organized6conferences,beenonaGoogleYearinSearchvideo,andstartedtheviralhashtag#SpeakerConfessions.

Unison:anewdistributedprogramminglanguage

9/141:30pm-2:10pm,UnionStationRegencyAB

Unisonisanopensourcefunctionalprogramminglanguagewithspecialsupportforbuildingdistributed,elasticsystems.Itbeganasanexperiment:rethinkallaspectsoftheprogrammingexperience,includingthecorelanguage,runtime,tooling,aswellascodeversioningandpublishing,andthendowhateverisnecessarytoeliminateneedlesscomplexityandmakebuildingsoftwareonceagaindelightful,orattheveryleast,reasonable.

We'reusedtothinkingofaprogramasathingthatdescribeswhatasingleOSprocesswilldo,andthenusingaseparatelayeroftechnologiesoutsideofourprogramminglanguagesto"configure"manyseparateprogramsintoasingledistributed,elastic"system".Thisgetscomplicated.ThecorelanguageofUnisonstartswiththepremisethatnomatterhowmanynodesacomputationoccupies,itshouldbeexpressibleviaasingleprogram,notmanyseparateprograms.Unisonprogramscandescribetheirowndeployment,elasticallyscaleandorchestratethemselves,anddeploythemselvesinparallelontoanynumberofnodesforexecution.

ThistalkintroducestheUnisonlanguageanditstoolingandshowswhatitcanbeliketoprogramsystemsofanysizewiththismodelofcomputing.

PaulChiusano@pchiusano-gh:pchiusano-UnisonComputing

PaulChiusanostartedtheresearchthatledtotheUnisonlanguageandisacofounderofUnisonComputing,apublicbenefitcorp.HehasoveradecadeofexperiencewithpurelyfunctionalprogramminginHaskellandScalaandcoauthoredthebookFunctionalProgramminginScala.HelivesandworksinSomerville,MA.

CSSAlgorithms

9/141:30pm-2:10pm,UnionStationRegencyC

Wait...CSSalgorithms?CanonereallywritealgorithmsinCSS?Absolutely.

ThistalkisallaboutCSSalgorithms:whattheyare,howtowritethem,andthepotentialimpactsofawordlike"algorithm"whenitcomestoboththeCSSinyourcode-basesandCSSinthelargercontextofwebdevelopment.

LaraSchenck@laras126-gh:laras126-PenskeMediaCorporation

LaraSchenckisfascinatedbytheprofound,yetsubtle,overlapbetweenprogramming,computersciencefundamentals,andCSS.ShespreadsherenthusiasmforthistopicatherdayjobasaDesignOpsEngineerforPenskeMediaCorporation,wheresheleadsthedesignsystemseffortforbigmediapublicationspoweredbyWordPress,andthroughspeakingandcommunityinvolvement.

Larawritesaboutherworkandlifeonherblog,illustratesfriendlymonsters,andinspiresallofuswhoworkwiththewebtoseekadeeperunderstandingofthecodewewriteandthetoolsweuse.

PerformanceMatters

9/142:30pm-3:10pm,StifelTheatreEncore

Performanceclearlymatterstousers.Forexample,themostcommonsoftwareupdateontheAppStoreis"Bugfixesandperformanceenhancements."NowthatMoore'sLawhasended,programmershavetoworkhardtogethighperformancefortheirapplications.Butwhyisperformancehardtodeliver?

Iwillfirstexplainwhycurrentapproachestoevaluatingandoptimizingperformancedon'twork,especiallyonmodernhardwareandformodernapplications.Ithenpresenttwosystemsthataddressthesechallenges.Stabilizerisatoolthatenablesstatisticallysoundperformanceevaluation,makingitpossibletounderstandtheimpactofoptimizationsandconcludethingslikethefactthatthe-O2and-O3optimizationlevelsareindistinguishablefromnoise(sadlytrue).

Sincecompileroptimizationshaverunoutofsteam,weneedbetterprofilingsupport,especiallyformodernconcurrent,multi-threadedapplications.Cozisanew"causalprofiler"thatletsprogrammersoptimizeforthroughputorlatency,andwhichpinpointsandaccuratelypredictstheimpactofoptimizations.Coz'sapproachunlockspreviouslyunknownoptimizationopportunities.GuidedbyCoz,weimprovedtheperformanceofMemcached(9%),SQLite(25%),andacceleratedsixotherapplicationsbyasmuchas68%;inmostcases,thisinvolvedmodifying<10linesofcodeandtookunderhalfanhour(withoutanypriorunderstandingoftheprograms!).CoznowshipsaspartofstandardLinuxdistros(aptinstallcoz-profiler).

EmeryBerger@emeryberger-gh:emeryberger-UniversityofMassachusettsAmherst

EmeryBergerisaProfessorintheCollegeofInformationandComputerSciencesattheUniversityofMassachusettsAmherst,theflagshipcampusoftheUMasssystem.HegraduatedwithaPh.D.inComputerSciencefromtheUniversityofTexasatAustinin2002.ProfessorBergerhasbeenaVisitingScientistatMicrosoftResearch(whereheiscurrentlyonsabbatical),theUniversityofWashington,andattheUniversitatPolitècnicadeCatalunya(UPC)/BarcelonaSupercomputingCenter(BSC).ProfessorBerger'sresearchspans

programminglanguages,runtimesystems,andoperatingsystems,withaparticularfocusonsystemsthattransparentlyimprovereliability,security,andperformance.HeandhiscollaboratorshavecreatedanumberofinfluentialsoftwaresystemsincludingHoard,afastandscalablememorymanagerthatacceleratesmultithreadedapplications(usedbycompaniesincludingBritishTelecom,Cisco,CréditSuisse,Reuters,RoyalBankofCanada,SAP,andTata,andonwhichtheMacOSXmemorymanagerisbased);DieHard,anerror-avoidingmemorymanagerthatdirectlyinfluencedthedesignoftheWindows7Fault-TolerantHeap;andDieHarder,asecurememorymanagerthatwasaninspirationforhardeningchangesmadetotheWindows8heap.HishonorsincludeaMicrosoftResearchFellowship,anNSFCAREERAward,aLillyTeachingFellowship,theDistinguishedArtifactAwardforPLDI2014,MostInfluentialPaperAwardsatOOPSLA,PLDI,andASPLOS,threeCACMResearchHighlights,aGoogleResearchAward,aMicrosoftSEIFAward,andBestPaperAwardsatFAST,OOPSLA,andSOSP;hewasnamedanACMDistinguishedMemberin2018.ProfessorBergeriscurrentlyservinghissecondtermasanelectedmemberoftheSIGPLANExecutiveCommittee;heservedforadecade(2007-2017)asAssociateEditoroftheACMTransactionsonProgrammingLanguagesandSystems,andwasProgramChairforPLDI2016.

RealtimeHybridReinforcementLearningatScale

9/142:30pm-3:10pm,StifelTheatreOvation

Nextbestaction(NBA)isatechniquethattakesuniqueuserhistoryandcharacteristicsintoconsiderationandrecommendsthenextactionsthathelpthecustomerprogressingtowardsbusinessgoalsasquicklyandsmoothlyaspossible.ItisnoteasytodesignsuchaAIpoweredNBAengine.Ideallyahand-freeNBAengineneedstohandlethefollowingproblems.a)Itshoulddealwithincompletehistoricalfeedbackthatareskewedtowardsasmallsetofactions;b)Itshouldadapttodynamicactions,whichcanbeaddedorremovedfrequentlyduetoseasonalchangesorshiftsinbusinessstrategies;c)Itneedstooptimizeformultiplecomplexbusinessobjectives,whichusuallyconsistofreachingasetoftargeteventsormovinguserstonextmorepreferredstage;d)Mostimportantly,ithastolearnandmakedecisionsinrealtimeandatmassivescale.Mostofthesolutionsinthemarketonlyaddressesafewofthosechallenges,duetomodelortechnicalchallenges.Inthispresentation,wewillshowhowweaddressallthoseissuesatSalesforceMarketingCloudEinstein.Wewillpresentahybridmodelbasedonreinforcementlearningthatbalancesbothonlineandofflinelearning.Wewillshowhowweutilizedistributedbigdataprocessingtechnologiesandservicestotrainandmakepredictionsatmassivescale.Wewillalsodiscussanofflineevaluationmechanismtoprovideboundedexpectedperformance,whichhasbeenahardproblemforreinforcementmachinelearningingeneral.

KexinXie@realstraw-gh:realstraw-Salesforce

KexinXieisaSeniorDirectorofEngineeringatSalesforce,responsiblefordatascienceresearch,practicesandarchitectureforMarketingCloudEinstein.HeleadstheteamforpushforwardtheAIinitiativeatverylargescale,thedatasystemprocessesover7billionmonthlyuniqueusersmakingtensoftrillionsofweeklypredictions.BeforeSalesforce,hehasworkedindifferentsectorsbuildinglarge-scaledatascienceplatformsthatperformmachinelearning,dataminingandonline/offlineanalyticsinthespaceofdatamanagement,real-timebidding,intelligentmarketing,anti-fraudandanti-moneylaundering.HehasaPhDincomputerscience,andhaspublicationsintoptierjournalsandconferenceslikeACMTODSandVLDB.

YuxiZhang-gh:juziyt-Salesforce

YuxiZhangisaSeniorDataScienceEngineeratSalesforceMarketingCloudEinstein.ShehasdesignedanddevelopedseveralAI-drivenfeaturesandrecommendationsystemsthatarecurrentlyservedtoMarketingCloudcustomers.PriortoSalesforce,shehasworkedonmusicrecommendationsystems,audiofingerprintingandA/BtestingatPandoraforafewyears.ShereceivedaMaster'sinMusicTechnologyandRobotics.

Zipline-ADeclarativeFeatureEngineeringLibrary

9/142:30pm-3:10pm,StifelTheatrePeabodyLounge

ZiplineisAirbnb'sdatamanagementplatformspecificallydesignedforMLusecases.Previously,MLpractitionersatAirbnbspentroughly60%oftheirtimeoncollectingandwritingtransformationsformachinelearningtasks.Ziplinereducesthistaskfrommonthstodays-bymakingtheprocessdeclarative.Itallowsdatascientiststoeasilydefinefeaturesinasimpleconfigurationlanguage.Theframeworkthenprovidesaccesstopoint-in-timecorrectfeatures-forboth-offlinemodeltrainingandonlineinference.

Inthistalkwewilldescribethearchitectureofoursystemandthealgorithmthatmakestheproblemofefficientpoint-in-timecorrectfeaturegeneration,tractable.

NikhilSimha-Airbnb

NikhilisaSoftwareEngineerontheMachineLearninginfrastructureteamatAirbnb.HeiscurrentlyworkingBighead,anend-to-endmachinelearningplatform.PriortoAirbnb,heworkedonschedulers,resourcemanagers,real-timedataprocessingenginesandcompilers.Heisalsotheco-authorofRealtimeDataProcessingatFacebook(SIGMOD-16).NikhilgothisBachelorsdegreeinComputerSciencefromIndianInstituteofTechnology,Bombay.Whilenotworking,helikestoboulderorplaycapoeira.

Machinelearningtointerpretsignlanguage

9/142:30pm-3:10pm,StifelTheatrePremier

InsteadofjustteachingDeafpeoplehowtogetalongwiththerestoftheworldandunderstandthem,whydon'twemakeanefforttounderstandthemandtheirlanguageviatechnology?!Inthistalkwewilllearnhowtousemachinelearningtointerpretsignlanguage.

TherearealargenumberofDeafpeopleacrosstheglobeandcommunicatingwiththemisdifficultasnoteveryonecanunderstandsignlanguage.InIndiatheofficialnumberofcertifiedsignlanguageinterpretersstoodatmerely250intheyear2017.Thistalkwillbeaboutusingobjectdetectionforagoodcauseandaddressingtheproblemofsignlanguagerecognition.Iwillalsoinvitecontributorsandencouragepeopletocontributeintheirownlanguagestomakethesystemmorerobustandaccessibleforpeopleworldwide.

ShaguftaGurmukhdas@shaguftamethwan

IamaTech-SpeakerforMozillaandhavebeenvolunteeringforMozillaforabout4years.IhavebeenexploringdeeplearningsincethepasttwoyearsandithasindeedbeenthefirsttimetechnologyhasmademefeelsoexcitedeversinceIcametoknowabouttheinternet.Otherthanthat,IamtheinitiatorandorganizerofDjangoGirlsPune.Iamalsoadecentartist,andlovetoplaythepianoinmyfreetime!

CommunityDrivenDevelopment

9/142:30pm-3:10pm,StifelTheatreTheater

Asdeveloperswhowanttolendourskillstosupportorganizationsfightingforsocialjustice,howdowebuildeffective,impactfulcollaborationswithorganizationsandmaketheresultingopensourceprojectssustainable?Overtwoyearsand1,062commits,we'llfollowtheevolutionofanopensourceprojectbuiltwithandforNewSanctuaryCoalition(NSC),anNYCimmigrantrightsorganization,tomeetexponentiallygrowingdemandfortheirimmigrationcourtaccompanimentprogram,proselegalclinic,andanti-detentionprogramfollowingthe2016election.

We'llexaminehowhavingtechnologistsembeddedinNSCprovidedastrongfoundationforcollaborationthroughfirst-handknowledgeoftheworkthesoftwareissupporting,motivationofworkingalongsideacommunity,andmutualtrustwithleadership.Reflectingonthewiderangeofskillsetsandexperiencelevelsbroughttotheproject,we'lllookathowthesuccessoftheprojectwasdependent,notjustoncodecontributions,butontrainingmaterials,laptopsetup,projectmanagement,digitalsecuritywork,andsetupofsupplementaryout-of-the-boxsoftware.DrawingfromNSC'sexpertiseinbuildingcommunityandlessonslearnedasanopensourcemaintainer,we'lldiscussthestrategiesweimplementedtobuildacommunityoftechnologiststosupportNSC'simmigrationjusticework.

ChristineZagrobelny-gh:CZagrobelny-FracturedAtlas

ChristineisaRubyengineer,opensourcemaintainer,andtheatredirector.AsanengineeratFracturedAtlas,shebuildstoolstohelpartistswiththebusinesssideoftheirart(fundraising,sellingtickets,findingstudio/performancespace).Outsideofwork,ChristinemaintainsopensourcesoftwaretosupporttheworkofanNYCimmigrantrightsorganization(NewSanctuaryCoalition)andisanorganizerforRailsBridgeNYC.Sheisdrivenandinspiredbythepotentialoftechnologytoenablesmallorganizationswithlimitedresourcestomaximizetheirimpact.

Jagged,ragged,awkwardarrays

9/142:30pm-3:10pm,UnionStationGrandF

Dataprocessinglanguages,suchasSQL,R,MATLAB,andNumpy/Pandas,implicitlyloopoveridentically-typedobjects("rows")ofadataset("table").Thismakesforasuccinctsyntaxinaninteractiveenvironment,butwhatdoyoudoifyourtabledoesn'thavearegularshape?

Particlephysicistshavethisproblem:eachcollisionofhigh-energyprotonscanproduceadifferentnumberofelectrons,photons,quarks,andotherparticlespecies.Asatablewithonecollisionperrow,thisdatasethasajaggededgeofunequal-sizedrows,sometimesreferredtoasaraggedarray.Traditionally,physicistshaveusedgeneral-purposeprogramminglanguageslikeFORTRANandC++todealwithbig,irregularlyshapeddatasets,butatalossofinteractivityandabstraction.

Tobringhigh-leveldataexpressivitytoparticlephysics,mygrouphasbeendevelopingawkward-array,alayeroverNumpythatgeneralizesitsarrayprogrammingparadigmtojaggedandotherawkwarddatastructures.AnyJSON-likedata,evenwithnested,heterogeneouscontent,canbesliced,broadcasted,andreducedwithimplicitloopsasthoughitwereaNumpyarray.

Thisgeneralizationofarrayprogramminghasimplicationsbeyondphysics:itsimplifiescombinatoricsandlikelihoodmaximizationsingenomicsandmayalsomakeiteasiertoanalyzestructuredlogfiles.MostawkwardarrayoperationscanbevectorizedtorunefficientlyonGPUs,andweareintegratingthelibrarywithApacheArrow,Parquet,Numba,andPandas.

JimPivarski-gh:jpivarski-PrincetonUniversity

JimwastrainedasaparticlephysicistwithaPh.D.fromCornellandhelpedcommissiontheCMSexperimentattheLargeHadron

Collider(LHC).HethenworkedasadatascientistforOpenDataGroupfor5years.In2016,hejoinedPrincetonasacomputationalphysicist,wherehedevelopedapopularsoftwarepackagelinkingparticlephysicsdataformatswiththescientificPythonecosystem,andisseekingnewwaystofostercommunicationandcodereusebetweenparticlephysicistsandotherfieldsofdataanalytics.

RhapsodyinZeroKnowledge:ProvingWithoutRevealing

9/142:30pm-3:10pm,UnionStationRegencyAB

Whatdoesitmeantoprovesomething?Propositionallogicrequireswerevealpropositionsandthenprovethemtrue,butwhatifitwerepossibletocreateproofswhichrevealnothingbuttheirownvalidity?Thisisthecoreideabehindtheemergentfieldofzeroknowledgeproofs:adecadesoldsolutiontoaproblemwedidn'tevenknowexistedyet.Asweincreasinglyturntomachinelearningtosolveproblemsrelatedtosecurity,suchasdetectingfrauds,fakes,orotherthreatactors,solutionsincreasinglyrelyonaccumulatingmassiveamountsofpersonaldata,underminingprivacyandriskingdatabreaches.Thistalkisabouthowwedon'thavetosacrificeprivacytogetsecurity,andthepotentialpowerofconstraints,complexity,anduniversalverifiablecomputation,andassumesnopriorknowledgeofcryptographyorproofsystems.

TonyArcieri@bascule-gh:tarcieri-iqlusion

Co-founder@iqlusioninc,formerly@square@chain.Cryptographydilettante,polyglotprogrammer,keymanagementwrangler,andinfrastructuresecurityspecialist

¡Escuinclababosa!APythonDeepLearningTelenovela

9/142:30pm-3:10pm,UnionStationRegencyC

Telenovelasarebelovedfortheiroverthetopdramaandintricateplottwists.Inthistalk,we'llreviewpopulartelenovelastosynthesizeatypicaltelenovelaarcanduseittotrainadeeplearningmodel.

Whatwouldatelenovelascriptlooklikeasimaginedbyaneuralnetwork?Toanswerthisquestion,we'llexaminethreePythondeeplearningframeworks-Keras,PyTorch,andTensorFlow-todeterminetheprocessoftranslatingatelenovelaintoaneuralnetworkandultimatelydeterminewhichonewillbebestforthetaskathand.Bepreparedforamor,pasiòn,andyelmisterioso!

LorenaMesa@loooorenanicole-gh:lorenanicole-GitHub

oliticalscientistturnedcoder,LorenaMesaisadataengineeronGitHub'ssoftwareintelligencesystemsteam,DirectoronthePythonSoftwareFoundation,andPyLadiesChicagoco-organizer.Lorena'stimeatObamaforAmericaandhersubsequentgraduateresearchrequiredhertolearnhowtotransformmessy,incompletedataintointelligibleanalysisontopicslikepredictingLatinxvoterbehavior.It'sthisuniquebackgroundinresearchandappliedmathematicsthatdroveLorenatopursueacareerinengineeringanddatascience.Onepartactivist,onepartStarWarsfanatic,andanotherpartTrekkie,Lorenaabidesbythemottoto"livelongandprosper".

InferenceQL:AIfordataengineers,withoutthemath

9/143:30pm-4:10pm,StifelTheatreEncore

CanweempowerdataengineerstouseAItoexplore,monitor,clean,andpredictdatastreams,withouthavingtolearnmath?

InferenceQLisanewopen-sourceAIplatformforsemi-structureddatathatisbeingdevelopedatMIT.InferenceQLuserscanbuildmodelsusingautomaticmodeldiscovery,thenquerythesemodelsusingasimple,SQL-likeAPI.InferenceQLalsoprovidesaspreadsheetinterfacewithbuilt-indatavisualization.InferenceQLrunsonbothJavaScriptandtheJVM,soitcandriveinteractivedataexperiencesinwebpagesandalsobepartofenterprisedatapipelines.ModelsinsideInferenceQLarerepresentedasprobabilisticprogramsinMetaprob,anewprobabilisticprogramminglanguageembeddedinClojure/Script.Expertscanthusreadandcustomizemodelsusingprobabilisticprogrammingtechniques.TheInferenceQLteamisworkingonanopen-sourceprototypesuitableforindustryandcivicuseindataengineering,analyticsconsulting,anddatajournalism,aswellasscientificdataanalysisandresearchinprobabilisticprogramming,causalmodeling,andprobabilisticexpertsystems.

InferenceQLwasmadebysomeofthesamepeoplebehindBayesDBandEmpiricalSystems,firstpresentedatStrangeLoopin2015.UnlikeBayesDB,InferenceQLisnotadatabase,butinsteadcanbeembeddedalongsidedatatables,datastreams,andclient-sidewebapplications.Wearejuststartingtoseekexternalbetatesters,contributors,andvolunteers.

UlrichSchaechtle@Schaechtle-MIT

UlrichSchaechtleisaresearchscientistatMIT.HeleadstheresearchengineeringeffortsaroundInferenceQL.UlrichholdsaPhDincomputersciencefromRoyalHolloway,UniversityofLondon,aswellasanMScincomputingfromImperialCollegeLondonandaBScinappliedcongitivesciencesfromtheUniversityofDuisburg-Essen.UlrichleadsanMITteamfortheDARPASynergisticDiscoveryandDesign(SD2)programs.HehaspublicationsinmajorconferencesandjournalsforprogramminglanguagesandAI.HecurrentlyworksonapplicationsofInferenceQLtodatajournalism,psychiatry,andsyntheticbiology.In2018,UlrichwasselectedbyDARPAasa

DARPARiser,oneof50earlycareerscientistsdevelopingbreakthroughtechnologies.

TweetMyWeddingDress

9/143:30pm-4:10pm,StifelTheatreOvation

Inspiredbyaloveofrainbowsandsillytechprojects,Idecidedtomakemyownfirstwearabletech-aweddingdressfulloflightsthatcouldbecontrolledbytweetsfrommyfriendsandfamily!

ThistalkwillgooverthetechIused(suitableforabsolutebeginners),themistakesImadeandthelessonsIlearnt.FromusingtheTwitterAPI,writingmyownAPI,codingforanArduinoandwiringthewholethinguptotheworstbit-THESEWING.Iaimtosharethemessagethatitisoktomakemistakes,wealldo!Ifyoukeeptryingyoucanmakesomethingmagical!

JoFranchetti@thisisjofrank-gh:thisisjofrank-Miss

JoistheEngineeringEngagementManageratTrainline.SheispassionateaboutWebVR,PWAsandgreatCSS.She'sgot7yearsexperienceasafrontenddeveloperandhasworkedinvariouspartsofthetechindustryfromstartups,agencies,charitiestolargeorganisations.Sheisalsoamentorandorganiseratcodebar.iowheresheisabletoactonherpassionnotonlyforteachinggooduseofthewebbutalsoforimprovingthediversityandinclusivityofthetechindustry.

Meander:DeclarativeExplorationsattheLimitsofFP

9/143:30pm-4:10pm,StifelTheatrePeabodyLounge

Asfunctionalprogrammerswelovetopaylipservicetodeclarativedatatransformation.Yetthisallegiancerarelyplaysoutinouractualcode.Datatransformingcombinators(map,filter,reduce,etc)offersignificantexpressivepowerovermanualloopsandmutation,butwhencombinedincomplexways,losetheirdeclarativepower.Lostinawebofnestedpipelines,theshapeofourdatabecomesobscured;ourcodebecomeshardtofollow.Wewindup,yetagain,needingtoplaycomputerinourheadstounderstandwhatourcodeisdoing.

MeanderisanexplorationintotrulydeclarativedatamanipulationcreatedasalibraryinClojure.Borrowingideasfromlogicprogrammingandtermrewriting,Meanderallowsdeclarativedescriptionsofarbitrarilycomplexdata;enablingyoutosearch,match,remember,join,andtransformanypartofyourdatadirectly.ThistalkwillshowyouhowtoleverageMeandertodeclarativelysolvereal-worlddatatransformationproblems,giveyouinsightintohowMeanderremainsbothperformantandexpressive,andfinallycastavisionforwhatamoredeclarativefutureforfunctionalprogrammingmayhold.

JimmyMiller@jimmyhmiller-gh:jimmyhmiller-Adzerk

JimmyisaSeniorSoftwareEngineeratAdzerkwhereheusesClojuretobuilddatatransformationandanalysissystems.Inhissparetimeheenjoysexploringprogramminglanguagetheory,readinganalyticphilosophy,andwritingcodethatnoonewilleveruse.

HowYourCompanyCanHelpSustainOpenSource

9/143:30pm-4:10pm,StifelTheatrePremier

Wouldyoulikeyourcompanyandco-workerstobegivingbacktotheopensourceprojectsyouuseeveryday?Inthistalk,Iwillpresentanumberofdifferentwaysthatcompaniesarecontributingtoopensource,anddiscusstheprosandconsofeach,sothatyoucanhelpyourcompanytosustaintheprojectsuponwhichyoudepend.Thiswillinclude:

Variousexcitingcorporateinitiativesforfundingopensourceprojects,andhowtochoosewhichprojectsgetthatmoneyWhatanOSPO(OpenSourceProgramOffice)isandwhyyourcompanymightwantoneWaystoencourageemployeestocontribute,andhowtomakecontributingeasyforthemHowtomeasureyourcompany'sandemployees'contributionstoopensource-Thisincludesphilosophicalquestionsofwhatshouldyoubemeasuring,andthelogisticalanswersofwhattoolsareavailabletodosoYouwillleavethistalkwithspecific,practicalideasandexamplesyoucanusetopromoteopensourcesustainability.

DanielleGellis@danisyellis-gh:danisyellis-Indeed

AstheToolsEngineerforIndeed'sOpenSourceProgram,Daniisbuildingtoolsthathelppeoplecontributetoopensourceprojects.She'spassionateaboutsharingandcollaboration,especiallyinsoftwareandtechnology.Daniisalsoateacherwhohastaughtbothkidsandadultstocode.

WatchtheWatcher:Facial-Recognition&PoliceOversight

9/143:30pm-4:10pm,UnionStationGrandF

Increasedstateuseoffacialrecognitiontechnologythreatenstoincreasethepowerdynamicbetweenthestateanddisenfranchisedcommunities.However,whathappenswhenindividualsusefacialrecognitiontowatchthewatchers?OpenOversightisanopen-sourceprojectthatpromotespoliceaccountabilitythroughpublicdata.Userscansortthroughphotostoidentifyanofficeragainstwhomtheywouldliketocomplain.Alackofofficeridentificationinformationhasstifledpreviousattemptstomonitorpolice;inChicagofrom2011-2015,28%ofcomplaintsagainstpolicewereimmediatelydroppedduetoalackofidentification.TheOpenOversightteamhasleveragedfacialrecognitiontomaketheprojectmoreeffective.Forexample,weusetheAWStoolRekognition,whichhasbeenusedbyvariouspolicedepartments,toidentifywith90%accuracyifpoliceormilitaryofficersarepresentinaphoto.Thispre-processinghasmadethevolunteerjobofphotosortingmoreefficient.Wealsouseface-api.jstomatchnewphotosagainstexistingimagesinthedatabase.Afteradiscussionofthistechnicalimplementation,thetalkwillclosebydiscussinglegalconsiderationsthatweencountered,suchasdepartment-specificguidelinesandcompliancewithIllinois'sBiometricInformationPrivacyAct.Thetalkwillprovideconcretetoolsandstrategiesforcommunityresponsestostatesurveillance.

EileenMcFarland-gh:McEileen

EileenisacurrentparticipantattheRecurseCenter,whereshefocuseshertimeonwebappdevelopmentandmachinelearningwithfeelings.Shehasworkedasasoftwaredeveloperonavarietyofprojects,usingJava/Spring,JavaScript,andAWS.Withabackgroundinlegalaid,Eileenremainsinvolvedincivictechprojects,suchasOpenOversight.Whennotprogramming,sheenjoysdoingyoga,reading,andpeople-watching.SheoncedroppedhercameraintoawaterfallinEcuadorafterrappellingdownaforementionedwaterfall.Thecamerastillworks,andEileenlikestoviewitasareminderoftheimportanceofresilience.

#langwishfulthinking

9/143:30pm-4:10pm,UnionStationRegencyAB

Whatmightsolvingarealproductionprobleminalanguagespecificallydesignedforbuildinglanguagesthatcooperatelooklike?RacketletsyouprogrambyfusingmultipleDSLstogether,reshapingandmouldingyourlanguagetofitthedomain,puttinguptowersoflanguages,infact,eachlevelclosertothelanguageofthedesireddiscourse.Getaglimpseofhowthismightworkbyimplementingsomethingthat'ssimpleyetspansawholerangeontheabstractionladderfrombittwiddlingtoWebframeworks.LearnhowtoreallygooffonatangentwhileimplementingFastCGIprotocolinRacket:wewon'ttieourselvestothedefaultsthatRacketdesignersblesseduswith,butboldlyemploywishfulthinking,borrowreadilyfromotherlanguages.Wewon'trushtomapdomainvocabularyontowhatbasicbuildingblocksourlanguageprovides-we'lltrytoactuallyspeakthelanguageofthedomain.WantprototypeswithLua-stylemetatables?Concisesyntax?Singleandmultipleinheritancewithgenericdispatch?Howgenericshouldthatgenericbe?Multimethods?FullMetaobjectProtocol,maybe?BeyondMetaobjectProtocol?Alanguageofpatternstoavoidbittwiddling?ThatoneWebframeworkthatspeaksthelanguageoftheWebyetletsyouwriteplain"desktopapp"code?Buildyourselfabetterlanguage.Daresay:IwishIcould-thenmakeitso.

VladKozin@zeRusski-gh:vkz-None

DilettanteprogrammerfromLondonwhotaughthimselfprogrammingwithRacketthroughHtDPandPLAI,didsomepaidJavascript,whichhedoesnotrecommend,thenpaidClojure,whichhedoes.HehasnowgonebacktotherootsandwriteslotsofRacket.Former@yandexand@droitfintech.Fall'13@recursecenteraka@hackerschoolalum.

PatternMatching@ScaleUsingFiniteStateMachine

9/143:30pm-4:10pm,UnionStationRegencyC

Workingwithdataoftenmeanstryingtolocatedatathatfitspatterns,akintofindinganeedleinahaystack.Whenweaddbigdatafromnonhomogenoussourcestothemix,thisproblembecomesexponentiallycomplex.OneoftheusecasesatNetflix,isaboutimprovingtheSignUpexperiencethroughexperimentation.Beingabletofinduserjourneysacrossbillionsofevents;thatfollowcertainpatterns,isakeyinsightintosimplifyingthesignupprocess.

ThisgaveusanideatobuildaframeworktoexpresstheseuserjourneypatternsthatcouldbetranslatedintoaNonDeterministicFiniteStateMachine.OneoftheideasthatweadaptedfromKenThompson's1968CACMpaper,wastocreateanNDFAaroundpatternsdefinedusingregexthatcouldsupportbacktracking.ThenextstepwasapplyingthestatemachineacrossbillionsofeventsatscaleusingSpark.ThefinalpiecetothepuzzlewastomakeiteasilyusablebyDataEngineers,ScientistsandAnalystsalike.

Inthistalk,wewillcoverhowwebuiltthisframework(dubbed"Conduit")andthedesigndecisionsresultingfromchallengesalongtheway.Wewillalsotalkabouthowthiscanbeadaptedtorealtimeapplicationsinthefuture.

AjitKoti@ajitkoti-gh:ajitkoti-Netflix

AjitKotiisaSeniorEngineerontheGrowthDataEngineeringteamatNetflix,buildingproductsthatenableNonMemberAcquisition&Experimentation.Hehasover14yearsofexperiencebuildingandarchitectinglarge-scaledistributedsystemsandservices.AjithaspreviouslybuiltBigDataSolutionsforFanaticsandIBMLabs.

RashmiShamprasad@rshamprasad-gh:rshamprasad-Netflix

Passionateaboutallthingsdata,RashmiShamprasadisaSeniorDataEngineerontheGrowthDataEngineeringteamatNetflix,buildingdataproductsthatenableNonMemberAcquisition&Experimentation.Withover9yearsofexperienceworkinginBigData,herpreviousstintsincludebuildingBigDatasolutionsatPayPalandeBay.RashmiholdsaMastersinComputerApplicationsandBachelorsinCommerce.

ClosingKeynote

9/144:30pm-5:20pm,StifelTheatreTheater

Keynoteandperformance

ImogenHeap@imogenheap

LondonbasedrecordingartistÂImogenHeapblurstheboundariesbetweenpureartformandcreativeentrepreneurship.Writingandproducing4soloalbums,oneasÂFrouFrouÂ(withÂGuySigsworth),andcollaboratingwithÂJeffBeck,MikaandÂJoshGrobanÂamongstothers,Heaphaspennedtracksformovies,TVshowsandproducedthescoreforHarryPotterandtheCursedChild,winningthe'OutstandingMusicinaPlay'DramaDeskAward.


Counting5Grammynominations,winningoneforengineeringandanotherforhercontributiontoÂTaylorSwift's'1989',HeapalsoreceivedanIvorNovelloAward,TheArtistandManagerPioneeraward,theMPGInspirationAwardandanhonoraryDoctorateofTechnologyforherÂMI.MUgloveswork:aground-breakinggesturalmusicmakingsystem.


In2014sheenvisionedaflourishingmusicindustryecosystemthroughMyceliaandreleased'TinyHuman',thefirstsongtousesmartcontractsonablockchain.


Creatinganartist-led,fairandsustainabledecentralizedecosystem,Mycelia's'TheCreativePassport'providesanIDformusicmakerstoconnectdigitallywiththemusicindustry.Withthreeworldtours,soldoutRoyalAlbertHallandGreekTheatreshowsandthousandsof5*reviews,inSeptember2018Heapembarkedonayear-longmusicandtechnologyworldtour.