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Conferences / posit::conf (formerly rstudio::conf)

posit::conf(2026)

Sep 14–16, 2026 · Hilton Americas-Houston, Houston, TX, United States

Conference
posit::conf (formerly rstudio::conf) Data science & ML
Dates
Sep 14, 2026 – Sep 16, 2026
Venue
Hilton Americas-Houston
Place
Houston, TX, United States
Format
Hybrid
Status
Past
Attendance
—
Conference home page shows '5+ Workshops, 100+ Talks, 800+ Attendees' (not clearly an actual 2026 headcount, so not recorded).
Website
conf.posit.co
Recorded
6 sponsors · 155 speaker appearances
Notes
In-person workshops plus virtual talks/workshop Sep 14; hybrid conference Sep 15-16. R/Pharma pre-conf Summit Sep 13 ($499 add-on). Speakers and affiliations from the Zuddl schedule API behind conf.posit.co/2026/sessions (affiliation = company part of each speaker's title field); talks inside multi-talk blocks taken from the block descriptions. Sponsors from logo file names on the home page (no tiers shown; one logo, 'KAT_WH - PJ Walters', could not be identified and is omitted). Recordings not yet linked.

Ticket prices

TicketPriceValid untilNotesSource
Super early bird: workshops only$899Apr 10, 2026conf.posit.co
Super early bird: conference only$1,099Apr 10, 2026conf.posit.co
Super early bird: all access$1,998Apr 10, 2026conf.posit.co
Early bird: workshops only$899Jun 22, 2026conf.posit.co
Early bird: conference only$1,199Jun 22, 2026conf.posit.co
Early bird: all access$2,098Jun 22, 2026conf.posit.co
Virtual: needs-based conference only$0—conf.posit.co
Virtual (students & educators): all access$98—conf.posit.co
Virtual: workshops only$99—conf.posit.co
Virtual: conference only$99—conf.posit.co
Virtual: all access$198—conf.posit.co
R/Pharma Summit add-on (Sep 13)$499—conf.posit.co
Academic: workshops only$549—conf.posit.co
Academic: conference only$749—conf.posit.co
General: workshops only$899—conf.posit.co
Academic: all access$1,298—conf.posit.co
General: conference only$1,349—conf.posit.co
General: all access$2,248—From June 23, 2026.conf.posit.co

Sponsors 6

Other 6

Speakers and talks 155

SpeakerCompanyRoleTalkLinks
Christine ZhangThe New York TimesKeynoteHow to Be Clear When You Can’t Be Certain—
Jagjit DhaliwalAmazon Web ServicesKeynoteBuilding the Future of Data Science and AI with Posit and AWS—
Sara AltmanPositKeynoteCorrect, reproducible, and transparent data agents—
Simon CouchPositKeynoteCorrect, reproducible, and transparent data agents—
Wes McKinneyPositKeynoteNavigating the Agentic Future—
Aaron BoganMayo ClinicSpeakerFrom, "Can you Just Make Us a Dashboard" to Enterprise Systems in R—
Aditya GadkariECOnorthwestSpeakerPublic Policy in the Age of Demographic Uncertainty—
Alan PanHouston Methodist HospitalSpeakerCreating Ergonomic Informatics Solutions to Enhance Patient Care in the Digital Health Era—
Alex ChisholmPositSpeakerTrust in the Cloud: Secure Deployments and Effortless AI Access—
Aliza SamadNASASpeakerQuarto Wiki Chatbot—
Allie WarrenWashington State Department of HealthSpeakerNowcasting Pertussis Case Counts in Washington State—
Allissa DillmanMontgomery College/BioData SageSpeakerYes And...AI in Your IDE—
Amy RossiPositSpeaker——
Anatoliy SokolovDowSpeakerFrom internal scripts to public portfolios: building an open source program at Dow—
Andy TeucherOpenscapesSpeakerThe NASA Earthdata Cloud Cookbook: A Quarto Collaboration Story—
Barret SchloerkePositSpeakerBeyond Bootstrap: Building Custom Shiny UI Packages with AI—
Becca KrouseGSKWorkshopAI-Powered Clinical Reporting in R with the Pharmaverse—
Becca KrouseGSKSpeakerSay Yes to the Request - From Helping One to Empowering Many—
Ben ArancibiaGSKSpeakerFlipping the Switch—
Ben HafflySeattle City LightSpeakerIt Worked Great Until I Left—
Ben StraubPraxis Precision MedicinesWorkshopAI-Powered Clinical Reporting in R with the Pharmaverse—
Bilikisu AderintoBusiness Data LaboratorySpeaker——
Björn FisselerFernUniversität in HagenSpeakerShift-left for more accessibility—
Blake AbbenanteSuffolk ConstructionSpeakerThe Tableau Plateau: From Dashboards to AI-Ready Data Products—
Brendan BroderickMayo ClinicSpeakerSQL Without Writing SQL: dbplyr for Serious Shiny Apps—
Brian LambertPositSpeakerSQL as a first-class language in your data science IDE—
Bryce MecumColumnarSpeakerADBC: A Faster Foundation for Database Connectivity in R, Python, and Beyond—
Carlos ScheideggerPositSpeakerQuarto Hub: Collaboratively edit, create, and share documents—
Carson SievertPositSpeakerThe Shiny AI Stack: shinychat, querychat, and the LLM Plumbing Beneath—
Casey JohnsonPfizerWorkshopAdministering and Orchestrating Next-Gen Statistical Environments for AI and Open Source Enabled Infrastructure for Regulated Use Cases—
Charlie GaoPositSpeakerNever Block, Never Copy: mirai + mori from Shiny to the Cluster—
Charlotte WickhamPositSpeakerQuarto + Accessibility + You—
Charlotte WickhamPositWorkshopPractical Quarto: Patterns, Templates, and Tooling—
Chetan ThaparPositSpeakerEnterprise Data Science, Minus the Overhead: Posit Team Native App on Snowflake—
Christian MartinezCity University of New YorkSpeakerDesigning Reproducible Learning Ecosystems with R and Quarto—
Cory AdkinsConsilioSpeakerFriends till the End(-to-end): Moving R and Python Projects into Pipelines with targets and Hamilton—
Cynthia HuangLMU MunichSpeakerReusing 'ggplot2' code: how to design better plot helper functions—
Daniel SjobergKardiganWorkshopAI-Powered Clinical Reporting in R with the Pharmaverse—
Derrick CogburnAmerican UniversitySpeakerFrom Programming Alone to Programming and Prompting: Teaching Bilingual AI-Enabled Data Science with Positron and Quarto—
Dylan WoottonMITSpeakerPrinciples for Effective Interactive Visualizations—
Edgar RuizPositSpeakerPrepare locally, run remotely: Easily scale Tidymodels on Databricks with sparklyr—
Elliot MurphyPositSpeakerAI Governance in Posit Team: getting better results from agentic helpers—
Emil HvitfeldtPositSpeakerSlideware Is Dead - Long Live Quarto—
Emil HvitfeldtPositWorkshopPractical Machine Learning with tidymodels—
Eric Nantz—SpeakerFor the community, by the community: The 10-year journey of R Weekly powered by open-source—
Eric ThompsonJuul LabsSpeakerCairn: From notebooks to logbooks—
Erica Chio—SpeakerDelivering Automations at Scale: {rtemplate} for High‑Throughput Biomarker Analytics—
Felippe Lazar NetoSociedade Brasileira de Oncologia Clínica (SBOC)SpeakerCancerTrialsBR: Improving Access to Cancer Clinical Trials in Brazil with R, Shiny and Large Language Models—
Florian MayrVeterans Affairs Pittsburgh Healthcare SystemSpeakerOperationalizing Quality: Building an ICU Dashboard at the VA with Shiny—
Francois MichonneauPositWorkshopGetting Started with Positron: An AI-Ready Polyglot Workflow for Data Science—
Gabriel MorrisonUrban InstituteSpeakerOpen Source Routing Analysis at Scale—
Garrett GrolemundPositWorkshopGetting Started with Positron: An AI-Ready Polyglot Workflow for Data Science—
Garrick Aden-BuiePositSpeakerThe Shiny AI Stack: shinychat, querychat, and the LLM Plumbing Beneath—
Garrick Aden-BuiePositWorkshopProgramming with LLMs in R and Python—
Gergely DarocziSpare CoresSpeakerSELECT instance FROM cloud WHERE workload = ? ORDER BY cost_efficiency—
Hadley WickhamPositSpeakerdata-dict & data-diff: two tools supporting AI-human data science collaboration—
Hadley WickhamPositWorkshopOur Modern R Workflow (ft. Positron and AI)—
Hamid ShafiezadehFNBOSpeakerWhen English Is Second, R Comes First—
Ian CookColumnarSpeakerADBC: A Faster Foundation for Database Connectivity in R, Python, and Beyond—
Imari GeniasGuidehouseSpeakerFinding Care Fast: An R Shiny App for Infectious Disease Exposure Response—
Inger BergomHarvard UniversitySpeakerOne Report, Many Audiences: Role‑Based Views in Posit Connect—
Isabel GlaussBoehringer IngelheimSpeakerHigh Quality R/Shiny Apps at Scale: Lessons from DaVinci’s Modular Framework—
Isabel ZimmermanPositSpeakerPositron Everywhere All At Once—
Isabel ZimmermanPositWorkshopModern Data Science in Python—
Jadey RyanWashington State Department of AgricultureSpeakerTemplate → Package → App: Meeting Users Where They're At—
James BlairPositSpeakerPositron for Everyone: Organization-Wide Posit Tooling on Amazon SageMaker—
James ClawsonGrant WitnessSpeakerDebugging Is a Nightmare: Meaningful Metaphors for Data Science Education—
James WadeDowSpeakerAI Agents Deserve R—
Jay Westreich—SpeakerBuilding a Custom Version of GeoGuessr in R—
Jenny BryanPositWorkshopOur Modern R Workflow (ft. Positron and AI)—
Jeroen JanssensPositSpeakerThe modern tool builder: CLIs, agents, and PEP 723—
Jeroen JanssensPositWorkshopModern Data Science in Python—
Joe ChengPositSpeakerAI Agents for Data Science: Posit Assistant, Commons, and Beyond—
Joe RobertsPositSpeakerBeyond Packages: Governing the AI Toolchain with Posit Package Manager—
John Paul HelvestonThe George Washington UniversitySpeakerThe Unreasonable Effectiveness of Quarto—
Jon HarmonAtorus ResearchSpeakerThe Design of Everyday R Functions—
Jonathan McPhersonPositSpeakerQuarto Notebooks and Literate Programming in Positron—
Josh Livingston—SpeakerInterdependent Filters in Shiny Made Simple—
Julia SilgePositSpeakerSQL as a first-class language in your data science IDE—
Kaitlyn HouselUniversity of WashingtonSpeakerInterpretable NLP for Clinical Imaging: Using tidymodels and Lasso-Regularized Text Models to Classify Pleural Effusion Impressions in R—
Karan GathaniPositSpeakerShiny design: Where humans and AI disagree—
Kathryn CronquistSummit PartnersSpeakerAI/ML SOS IDK—
Katie MasielloPositSpeaker——
Keaton WilsonCHG HealthcareSpeakerORCA: a collaboratively-built AI-powered Shiny app built on Posit Team—
Kelli GoggansNational Institutes of HealthSpeakerWhen the data doesn’t fit the question—
Kelly BodwinCalifornia Polytechnic State UniversitySpeakerLife after R4DS: How to take your R skills to the next level—
Kelly O'BriantPositSpeaker——
Kelly PisaneBooking.comSpeakerBuilding Confidence, Not Bugs: Internal Packages for Empowered Data Teams—
Kelsey ChalmersThe Lown InstituteSpeakerOutgrowing Spreadsheets: Rebuilding Research Data Collection with Shiny and Posit Connect—
Kimberley Isabel Orozco CornejoixpantiaSpeakerBeyond Prediction: A Causal Framework using R for solving real world problems—
Konstantinos NtentesPositSpeakerInbox Insights with ellmer and Posit Connect—
Kristin BottPositSpeakerHello, robot: Introducing humans to LLM’s—
Leslie EmeryBristol Myers SquibbSpeakerClinical data harmonization with LLMs—
Libby McKennaBrown and CaldwellSpeakerRepotting and propagating my Shiny houseplant—
Luis D. Verde ArregoitiaInstituto de Ecología AC INECOLSpeakerCan I offer you a nice IDE in this trying time?—
Luis WirthHMS Analytical SoftwareSpeakerCombining Agentic Python Applications with R Workflows Using Posit Connect—
Magdalena KrochmalRocheWorkshopAI-Powered Clinical Reporting in R with the Pharmaverse—
Malosree MaitraCanadian Institutes of Health ResearchSpeakerBridging the Gap: Custom Catalogs to Connect End Users with Data Products—
Marc DotsonUtah State UniversitySpeakerPositron and the Three Bears: Teaching Python with Positron—
Matt LearyPositSpeakerBuilding Posit Connect for Two Very Different AI Organizations—
Max KuhnPositSpeakerRoll for Wisdom: What AI Gets Wrong About Data Analysis—
Max KuhnPositWorkshopPractical Machine Learning with tidymodels—
Meghan HarrisMemorial Sloan Kettering Cancer CenterSpeakerFake it Til' You Make It: Mocking Reality So Your Tests Can Run—
Michael HausingerDowSpeakerFinding Common Language between Data Scientists and Non Data Scientists—
Michael MayerPositWorkshopAdministering and Orchestrating Next-Gen Statistical Environments for AI and Open Source Enabled Infrastructure for Regulated Use Cases—
Michael MoralesIntusSpeakerAn R app for generating appraisals reports—
Michael MullarkeyTeamworksSpeakerInstant Feedback, Robust Evals: Agentic AI Tutoring in R and Python—
Michael ThomasKetchbrook AnalyticsSpeakerORCA: a collaboratively-built AI-powered Shiny app built on Posit Team—
Mike SmithPfizerWorkshopAdministering and Orchestrating Next-Gen Statistical Environments for AI and Open Source Enabled Infrastructure for Regulated Use Cases—
Mine Cetinkaya-RundelPositWorkshopPractical Quarto: Patterns, Templates, and Tooling—
Mine Cetinkaya-RundelPositSpeakerAnother one writes the code—
Mirian LimaUnited NationsSpeakerPackage Your Judgment, Keep Your Intent—
Morgana KinlanDeepSeasSpeakerStaying Organized Across Machines: Practical Workflows for Data Scientists with Busy Brains—
Morten DallUniversity of WashingtonSpeakerHow Shiny changed data analysis at the Metabolism Center—
Nate MocklerBiogenSpeakerHow I Automated My Job, Cashed Out and Developed 6-Pack Abs Using AI!—
Neal RichardsonPositSpeakerMCP, or not MCP—
Neil RosenbaumHouston Methodist HospitalSpeakerClinical Data Science—
Neil RosenbaumHouston Methodist HospitalSpeakerEnvironmental Stressors and Healthcare: Lessons from Scaling a Posit/R Pipeline That Connects Environmental Data to Emergency Department Visits—
Nick GiangrecoRegeneron PharmaceuticalsSpeakerDelivering Automations at Scale: {rtemplate} for High‑Throughput Biomarker Analytics—
Nick StrayerPositSpeakerPositron Notebooks: Built Around How You Actually Work—
Nicky BellPowered AnalysisSpeakerBetween Code and Conclusions: An Evaluation Layer for LLM-Generated Analysis—
Nicolas Bennettcynkra GmbHSpeakerLess to decide, more to reuse: the block in blockr—
Nicole JonesDenali TherapeuticsWorkshopAdministering and Orchestrating Next-Gen Statistical Environments for AI and Open Source Enabled Infrastructure for Regulated Use Cases—
Olivia HebnerSummit PartnersSpeakerAI/ML SOS IDK—
Padmashri SaravananBioData SageSpeakerYes And...AI in Your IDE—
Paula Lopez CasadoCleoSpeakerInfluence with Quarto: Designing Reports That Drive Decisions—
Ran LiDrexel UniversitySpeakerMaking the Impossible Possible: A Software-First Stack for Resource-Constrained Research—
Rebecca WardropMichigan MedicineSpeakerClinical Data Science—
Rebecca WardropMichigan MedicineSpeakerLowering Cesarean Rates - Using Quarto to Create Scalable Performance Reports—
Richard IannonePositSpeakerGreat Docs: Beautiful Documentation Sites for Python Packages—
Richard IannonePositWorkshopModern Data Science in Python—
Ryan YenMITSpeakerPrinciples for Effective Interactive Visualizations—
Sam ClarkPositSpeakerThree Agents, Two Mistakes, or Designing for LLM-Assisted Data Analysis—
Sara AltmanPositWorkshopProgramming with LLMs in R and Python—
Satish J MurthyJohnson & JohnsonWorkshopAdministering and Orchestrating Next-Gen Statistical Environments for AI and Open Source Enabled Infrastructure for Regulated Use Cases—
Sharon WangPositSpeakerWhat context do your AI agents actually need?—
Shelby LevelThe Ohio State UniversitySpeakerFirst Impressions Matter: Styling Data Products That People Actually Want to Use—
Sierra JohnsonBrown and CaldwellSpeakerCrying, Caching, and Compiling: The Five Stages of R Optimization—
Sofia LendahlNASASpeakerQuarto Wiki Chatbot—
Subodh KumarAmazon Web ServicesSpeakerPositron for Everyone: Organization-Wide Posit Tooling on Amazon SageMaker—
Tanya CashoraliTCB AnalyticsSpeakerFrom Tribal Knowledge to Trusted AI in Pharma—
Tanya ShapiroIndieVisualSpeakerTemplate → Package → App: Meeting Users Where They're At—
Thomas Lin PedersenPositSpeakerA Grammar of Graphics for SQL—
Tiger TangCARFAX, IncSpeakerFrom ABC to AI: Applying Language Acquisition to R and Technical Mastery—
Timothy KeyesStanford Health CareSpeakerFrom chats to workflows to “agents”: Demystifying LLM jargon by example—
Tom MockPositSpeakerAI Governance: Bringing Posit Assistant to the enterprise—
Tom ShaferElder ResearchSpeakerBetter Python Notebooks with Marimo—
Travis GerkeThe Prostate Cancer Clinical Trials ConsortiumSpeakerQuack to the Future: Building Traceable Data Lakehouses with DuckLake in R—
Tyler RiccioCitizens BankSpeakerFrom Dplyr to Polars: Migrating Tools & Languages While Maintaining the Tidy Model—
Tyson BarrettUtah State UniversitySpeakerTeach Once, Use Often: Building AI Skills for Data Analysis—
Wasim LorgatPositSpeakerWhere Do Notebooks Come From?—
Winston ChangPositSpeakerWhy is AI costing me so much money?—
Wojciech GajewskiAppsilonSpeakerRunning a software department in times of agents—
Yasha KaushalCCS FundraisingSpeakerLLM-Powered Data Workflows: Structuring Inputs and Accelerating Insight—
Zan Armstrong—SpeakerDo This Instead: 4 Alternatives to Common Charts—

Sources