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Conferences / PyData

PyData Boston 2025

Dec 8–10, 2025 · Microsoft NERD Center, Cambridge, MA, United States

Conference
PyData Data science & ML
Dates
Dec 8, 2025 – Dec 10, 2025
Venue
Microsoft NERD Center
Place
Cambridge, MA, United States
Format
In person
Status
Past
Attendance
—
Website
pydata.org
Recorded
5 sponsors · 62 speaker appearances
Notes
Tutorial day Dec 8, talks Dec 9-10, at Microsoft NERD Center, 1 Memorial Dr, Cambridge. pydata.org/boston2025 has expired and the Wayback Machine was unreachable, so sponsor tiers are unverified: sponsors listed from Posit's event page ("Microsoft (host), Anaconda, NVIDIA, Snowflake, and Posit"); a search snippet suggested the latter four were Diamond but this was not confirmed. Keynote affiliations (Posit, IBM) from Posit's event page; other affiliations from pretalx bios.

Ticket prices

TicketPriceValid untilNotesSource
Student Tutorial Pass (Monday only)$100—Listed final price includes a 3.9% processing feeti.to
Individual Tutorial Pass (Monday only)$150—Listed final price includes a 3.9% processing feeti.to
Corporate Tutorial Pass (Monday only)$200—Listed final price includes a 3.9% processing feeti.to
Startup Tutorial Pass (Monday only)$200—Listed final price includes a 3.9% processing feeti.to
Student Talk Pass (Tue & Wed only)$200—Listed final price includes a 3.9% processing feeti.to
Individual Talk Pass (Tue & Wed only)$250—Listed final price includes a 3.9% processing feeti.to
Student 3-Day Pass$300—Listed final price includes a 3.9% processing feeti.to
Startup Talk Pass (Tue & Wed only)$300—Listed final price includes a 3.9% processing feeti.to
Individual 3-Day Pass$400—Listed final price includes a 3.9% processing feeti.to
Corporate Talk Pass (Tue & Wed only)$400—Listed final price includes a 3.9% processing feeti.to
Startup 3-Day Pass$500—Listed final price includes a 3.9% processing feeti.to
Corporate 3-Day Pass$600—Listed final price includes a 3.9% processing feeti.to

Sponsors 5

Other 1

Speakers and talks 62

SpeakerCompanyRoleTalkLinks
Isabel ZimmermanPositKeynoteKeynote by Isabel ZimmermanVideo
Lisa AminiIBMKeynoteKeynote by Lisa Amini- What’s Next in AI for Data and Data Management?Video
Aayush Gauba—SpeakerEmbracing Noise: How Data Corruption Can Make Models SmarterVideo
Abhishek MurthySchneider ElectricSpeakerApplying Foundational Models for Time Series Anomaly DetectionVideo
Allen DowneyPyMC LabsSpeakerThe SAT math gap: gender difference or selection bias?Video
Aman BhandariVertex PharmaceuticalsSpeakerUsing Traditional AI and LLMs to Automate Complex and Critical Documents in Healthcare—
Astha PuriCVS HealthTutorialHands-On with LLM-Powered Recommenders: Hybrid Architectures for Next-Gen PersonalizationVideo
Benjamin BatorskyGoGuardianSpeakerThree agents, three frameworks, one talkVideo
Benjamin LearPennsylvania State UniversityTutorialUnderstanding and using color for storytelling in data visualizationsVideo
Brandon (Anbang) WuQuizletSpeakerUnlocking Smarter Typeahead Search: A Hybrid Framework for Large-Scale Query SuggestionsVideo
Bryce CasavantWHOOPSpeakerMeasuring Media Impact: Practical Geo-Lift Incrementality TestingVideo
Caitlin LewisDuke UniversitySpeakerfastplotlib: driving scientific discovery through data visualizationVideo
Chuxin LiuJPMorgan ChasePanelistHow AI Is Transforming Data Careers — A Panel DiscussionVideo
Chuxin LiuJPMorgan ChaseTutorialBuild Your MCP serverVideo
Daina BouquinAnacondaSpeakerIs Your LLM Evaluation Missing the Point?Video
David Jones-Gilardi—SpeakerOne agent, one job, better AIVideo
Dawn WagesAnacondaSpeakerThe Lifecycle of a Jupyter Environment: From Exploration to Production-Grade PipelinesVideo
Deb NicholsonPython Software FoundationSpeakerWho is Python for? EVERYONE (and why that matters)Video
Deepyaman DattaGoldman SachsSpeakerData engineering with Python the right way: introducing the composable, Python-native data stack—
Dr. Rebecca BilbroRotational LabsSpeakerWhere Have All the Metrics Gone?Video
Eric MaModernaTutorialBuilding LLM Agents Made SimpleVideo
Eric MaModernaSpeakerPatterns for Productive Agent-Assisted ProgrammingVideo
fasal shahRed HatSpeakerScaling Specialist Knowledge with AI: From Virtual Specialist to Revenue Acceleration AgentVideo
Gayathri RamanathanCVS HealthPanelistHow AI Is Transforming Data Careers — A Panel DiscussionVideo
Gilberto Hernandez—TutorialFrom Notebook to Pipeline: Hands-On Data Engineering with PythonVideo
Ian Stokes-ReesBCGTutorial"Save your API Keys for someone else" -- Using the HuggingFace and Ollama ecosystems to run good-enough LLMs on your laptopSlidesVideo
Isaac Godfried—TutorialGoing multi-modal: How to leverage the lastest multi-modal LLMs and deep learning models on real world applicationsVideo
Ishita SequeiraRed HatSpeakerScaling Specialist Knowledge with AI: From Virtual Specialist to Revenue Acceleration AgentVideo
Itamar Turner-Trauring—SpeakerProcessing large JSON files without running out of memoryVideo
Jacob TomlinsonNVIDIASpeakerAccelerating Geospatial Analysis with GPUsVideo
Jake Lorocco—TutorialGenerative Programming with Mellea: from Agentic Soup to Robust SoftwareVideo
Jaya VenkateshNVIDIASpeakerAccelerating Geospatial Analysis with GPUsVideo
Jules Walzer-GoldfeldPositSpeakerWrappers and Extenders: Companion Packages for Python ProjectsVideo
Katrina RiehlNVIDIATutorialCUDA Python Kernel AuthoringVideo
Konstantin Taletskiy—SpeakerThe JupyterLab Extension Ecosystem: Trends & Signals from PyPI and GitHubVideo
Kushal KolarNew York UniversitySpeakerfastplotlib: driving scientific discovery through data visualizationVideo
Leonardo Ferreira—TutorialCreate your Health Research Agent—
Lily XuVertex PharmaceuticalsSpeakerUsing Traditional AI and LLMs to Automate Complex and Critical Documents in Healthcare—
Luca FiaschiPyMC LabsSpeakerMMM Open- Source Showdown: A Practitioner's Benchmark of PyMC-Marketing vs. Google MeridianVideo
Mike Woodward—SpeakerUsing Cursor (and other AI code gen tools) for data scienceVideo
Mingxuan ZhaoIBMTutorialLearn to Unlock Document Intelligence with Open-Source AIVideo
Morgan VincentPennsylvania State UniversityTutorialUnderstanding and using color for storytelling in data visualizationsVideo
Nathan FultonIBMTutorialGenerative Programming with Mellea: from Agentic Soup to Robust SoftwareVideo
Naty ClementiNVIDIASpeakerAccelerating Geospatial Analysis with GPUsVideo
Nikunj Doshi—SpeakerBuilding Production RAG Systems for Health Care Domains : Clinical DecisionVideo
Paddy Mullen—SpeakerThe Column's the limit: interactive exploration of larger than memory data sets in a notebook with Polars and BuckarooVideo
Pranav KompallyVizitSpeakerModeling Aesthetic Identity: Building a Digital Twin from Instagram Likes & Visual PreferencesVideo
Rodrigo Silva FerreiraPositSpeakerWhen Rivers Speak: Analyzing Massive Water Quality Datasets using USGS API and Remote SSH in PositronVideo
Sanjit PaliwalVerizonSpeakerNo Cloud? No Problem. Local RAG with Embedding GemmaVideo
Sarthak Pattnaik—SpeakerTracking Policy Evolution Through Clustering: A New Approach to Temporal Pattern Analysis in Multi-Dimensional DataVideo
Sebastian Wallkötter—SpeakerThe Boringly Simple Loop Powering GenAI AppsVideo
Serhii SokolenkoTowerSpeakerSurviving the Agentic Hype with Small Language ModelsVideo
Sheetal BorarEtsyTutorialHands-On with LLM-Powered Recommenders: Hybrid Architectures for Next-Gen PersonalizationVideo
Sheetal BorarEtsyPanelistHow AI Is Transforming Data Careers — A Panel DiscussionVideo
Shikhar PatelMass General Brigham (formerly Partners HealthCare)SpeakerBuilding Production RAG Systems for Health Care Domains : Clinical DecisionVideo
Siddharth ShankarMphasisSpeakerLLMOps in Practice: Building Secure, Governed Pipelines for Large Language ModelsVideo
Susan Shu ChangElasticSpeakerEvaluating AI Agents in production with PythonVideo
Ted Conway—SpeakerFun With Python and Emoji: What Might Adding Pictures to Text Programming Languages Look Like?Video
Yiwen Liu—TutorialBuild Your MCP serverVideo
Yiwen Liu—PanelistHow AI Is Transforming Data Careers — A Panel DiscussionVideo
Yunxin Gao—SpeakerRethinking Feature Importance: Evaluating SHAP and TreeSHAP for Tree-Based Machine Learning ModelsVideo
Zvi Topol—SpeakerUncertainty-Guided AI Red Teaming: Efficient Vulnerability Discovery in LLMs—

Sources