University of Washington
Also listed as 119 other names
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Circuit mix
Where University of Washington shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research27%63 events
- Python & R data science24%59 events
- Enterprise, analyst & AI expos14%37 events
- AI engineering & MLOps9%23 events
- Geospatial & mapping9%25 events
- Modern data stack & practitioner6%15 events
- Vendor flagships & roadshows3%8 events
- Postgres & open-source databases3%8 events
- Open-source data infrastructure2%6 events
- Cloud providers1%2 events
- Alt data & financial information1%2 events
- Microsoft data platform<1%1 event
- Software engineering<1%1 event
The year around now
Conferences where University of Washington sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Silver
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 3 conferences in 2026, flat from 3 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 2
First sponsored in 2025 or later.
- ACL (Annual Meeting of the Association for Computational Linguistics)first sponsored 2026, unranked tier
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2026, Silver
Pulled out 4
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- AJCAI (Australasian Joint Conference on Artificial Intelligence)last sponsored 2024; the conference ran again in 2025
- Budapest Data+AI Forumlast sponsored 2022; the conference ran again in 2024–26
- IEEE VIS (IEEE Visualization and Visual Analytics)last sponsored 2023; the conference ran again in 2025
- Toronto Machine Learning Summit (TMLS)last sponsored 2023; the conference ran again in 2024–26
Steady 3
Sponsored in most years of its span at the same tier.
- JSM (Joint Statistical Meetings)5 of 8 years 2019–26, unranked tier
- PyDataevery year 2024–25, unranked tier
- SciPy Conference (Scientific Computing with Python)every year 2024–25, unranked tier
Once or on and off 3
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Big Data LDNonce, 2019, tier not listed
- JuliaCon2 of 7 years, 2019–25
- The AI Summitonce, 2019, Community tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Stanford University0.85
- Meta0.80
- IBM0.77
- Carnegie Mellon University0.76
- ETH Zurich0.76
- Harvard University0.75
- Google0.74
- Massachusetts Institute of Technology0.70
14 Cluster: JSM · useR! circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 22 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Springer Nature | 8 | 36% |
| 7 | 32% | |
| SAS | 7 | 32% |
| Microsoft | 6 | 27% |
| AbbVie | 5 | 23% |
| Amazon Web Services | 5 | 23% |
| Berry Consultants | 5 | 23% |
| Cambridge University Press | 5 | 23% |
| Cytel Inc. | 5 | 23% |
| Eli Lilly and Company | 5 | 23% |
| Institute of Mathematical Statistics | 5 | 23% |
| JMP Statistical Discovery | 5 | 23% |
| JPMorgan Chase | 5 | 23% |
| The Lotus Group | 5 | 23% |
| Merck | 5 | 23% |
Neighborhood: companies with nearby conference footprints
University of Washington (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 22
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Silver Pavilion | Silver |
| JSM 2026 (Joint Statistical Meetings) | Aug 1–6, 2026 | Boston, United States | Exhibitor | Other |
| ACL 2026 (64th Annual Meeting of the ACL) | Jul 2–7, 2026 | San Diego, United States | Academic Ally | Other |
| PyData Vermont 2025 | Oct 21–22, 2025 | Burlington, United States | Host | Other |
| JSM 2025 (Joint Statistical Meetings) | Aug 2–7, 2025 | Nashville, United States | Exhibitor | Other |
| JuliaCon 2025 | Jul 22–26, 2025 | Pittsburgh, United States | Local Partners | Other |
| SciPy 2025 | Jul 7–13, 2025 | Tacoma, United States | Sprints Host | Other |
| AJCAI 2024 | Nov 25–29, 2024 | Melbourne, Australia | Sponsor (proceedings preface) | Other |
| JSM 2024 (Joint Statistical Meetings) | Aug 3–8, 2024 | Portland, United States | Exhibitor | Other |
| PyData Vermont 2024 | Jul 29–30, 2024 | Burlington, United States | Host | Other |
| SciPy 2024 | Jul 8–14, 2024 | Tacoma, United States | Sprints Sponsor | Other |
| AJCAI 2023 | Nov 28, 2023 – Dec 1, 2023 | Brisbane, Australia | Sponsor (proceedings preface) | Other |
| IEEE VIS 2023 | Oct 22–27, 2023 | Melbourne, Australia | Pearl | Other |
| TMLS 2023 | Jun 12–14, 2023 | Toronto, Canada | Startup Corner | Startup |
| JSM 2022 (Joint Statistical Meetings) | Aug 6–11, 2022 | Washington, United States | Exhibitor | Other |
| Budapest ML Forum 2022 | May 3–4, 2022 | Budapest, Hungary | Academic Partner | Community |
| TMLS 2021 Annual Virtual Conference | Nov 15–18, 2021 | — | Partners | Community |
| Big Data LDN 2019 | Nov 13–14, 2019 | London, United Kingdom | Exhibitor | Unlabeled |
| IEEE VIS 2019 | Oct 20–25, 2019 | Vancouver, Canada | Pearl | Other |
| JSM 2019 (Joint Statistical Meetings) | Jul 27, 2019 – Aug 1, 2019 | Denver, United States | Exhibitor | Other |
| JuliaCon 2019 | Jul 22–26, 2019 | Baltimore, United States | Platinum | Platinum |
| The AI Summit London 2019 | Jun 12–13, 2019 | London, United Kingdom | Research & Association Partners | Community |
Speakers 534
Showing the 200 most recent of 534 speaker slots.
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Dan Hart | CDAIO Sydney 2027 | speaker | The AI Operating Model: Who Owns What? | — |
| Barzan Mozafari | CIDR 2027 | paper | BEGIN AI TRANSACTION: Semantic Isolation for Durable AI Workflows | — |
| Donna Pham | CIDR 2027 | paper | Rethinking Document Indexing for LLM-based Analysis | — |
| El Kindi Rezig | CIDR 2027 | paper | Dataflow-Oriented Debugging for Data Science Pipelines | — |
| Hasara Kalumin | CIDR 2027 | paper | When the Application Layer Is Disposable: Putting Integrity Constraints Back in the Database | — |
| Moe Kayali | CIDR 2027 | paper | Query Blueprints for Querying Opaque Schemas | — |
| Simon Frisk | CIDR 2027 | paper | Reclaiming the GPU's Forgotten Half: Getting Your Join's Mojo Back with Tensor Cores | — |
| José Hernández-Orallo | NeurIPS 2026 (Sydney) | keynote | The Future of AI Evaluation | — |
| Shannon Vallor | NeurIPS 2026 (Sydney) | keynote | The Knowledge Box: AI and Epistemic Dispossession | — |
| Mike Westwood | AWS re:Invent 2026 | breakout | AI Assistant for Public Sector: Governance Without Compromise with Amazon Quick | — |
| Ranjay Krishna | AWS re:Invent 2026 | chalk talk | Visual reasoning will be bigger than language reasoning | — |
| Albert Bifet | AJCAI 2026 | keynote | — | — |
| Yun Sing Koh | AJCAI 2026 | keynote | — | — |
| Tim Weiland | Compute! Paris 2026 | speaker | Stop brute-forcing your posteriors: structured Bayesian inference in Julia | — |
| Catherine Nakalembe, PhD | SatSummit St. Louis 2026 | speaker | State of Play | — |
| Maia Tarnas, PhD | SatSummit St. Louis 2026 | speaker | EO In Action | — |
| Anna Korhonen | EMNLP 2026 | keynote | AI for the Many: Starting from the World, Not the Model | — |
| Marina Martynenko | Data in the D Conference 2026 | lightning | AI is Not the Hard Part: Lessons from Building AI Enablement in a Large Institution | — |
| Marina Martynenko | Data in the D Conference 2026 | panelist | Data Leadership Panel | — |
| Hanna Earls | Data Decoded MCR 2026 | speaker | Speaking Finance: From Data Strategy to Business Priority | — |
| Matt Price | CNG Forum 2026 | speaker | — | — |
| Matthew Haffner | CNG Forum 2026 | speaker | — | — |
| Joel Thornton | CNG NYC 2026 | panelist | Panel: Climate Data 2.0 — Disruptive Approaches to Expanding Data for Modeling, AI Validation, and Governance | — |
| Marcus du Sautoy | Big Data LDN 2026 | featured | AI: Promise or Peril? | — |
| Kaitlyn Housel | posit::conf(2026) | speaker | Interpretable NLP for Clinical Imaging: Using tidymodels and Lasso-Regularized Text Models to Classify Pleural Effusion Impressions in R | — |
| Morten Dall | posit::conf(2026) | speaker | How Shiny changed data analysis at the Metabolism Center | — |
| Ryan Marinelli | PyData Amsterdam 2026 | tutorial | Stop Early, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking | — |
| Jesse Whitehead | FOSS4G 2026 | speaker | Impactful Data: International cooperation to increase the value of open-source data & software including in hazard scenarios | — |
| Saba Zehra | FOSS4G 2026 | workshop | Visualising Future Climate Projections with Open-Source Python (From CMIP6 Data to Interactive Web Maps) | — |
| Stephanie May | FOSS4G 2026 | workshop | Custom tile servers with MapLibre/Martin/Planetiler - base and overlays Workshop | — |
| Takashi Oguchi | FOSS4G 2026 | speaker | Implementation and evaluation of geography education using QGIS for Japanese high school students | — |
| Yoko Moriyoshi | FOSS4G 2026 | keynote | Memory, Technology, and Peace — Rebooting Memories and Geospatial Technology | — |
| Yuta Sato | FOSS4G 2026 | speaker | City2Graph: Open Source Python Library for GeoAI with Graph Neural Networks | — |
| Yuta Sato | FOSS4G 2026 | workshop | GeoAI in Practice: From Geospatial Data to Graph Neural Networks with City2Graph | — |
| Carlos Cámara | State of the Map 2026 | speaker | Whose Knowledge Counts? Analysing Diversity and Exclusion in OpenStreetMap's Tagging Proposals Process | — |
| Nomin Enkhtamir | State of the Map 2026 | speaker | Indoor Mapping Potential in OpenStreetMap: Estimating the Amount of Publicly Accessible Indoor Spaces Across European Cities | — |
| Alison Wong | PyCon AU 2026 | talk | Student Showcase | Video |
| Stephen Tierney | PyCon AU 2026 | talk | Feed-Forward, Not Feedback: Rethinking Project Based Assessment | Video |
| Anthony Micciche | JuliaCon Global 2026 | speaker | Quantum Hamlets: Distributed Compilation of Large Algorithmic Graph States | — |
| Feroz Ahmed Mian | JuliaCon Global 2026 | speaker | Multivariate Multicycle codes for Complete Single-shot decoding | — |
| Greg Munday | JuliaCon Global 2026 | speaker | Differentiable Climate Modeling: Calibrating SpeedyWeather with Enzyme | — |
| Greg Munday | JuliaCon Global 2026 | speaker | A learned surface roughness scheme for climate prediction in SpeedyWeather.jl | — |
| James Cass | JuliaCon Global 2026 | speaker | Hydrodynamics of composable active structures with MicroSwimmers.jl | — |
| Joseph Kump | JuliaCon Global 2026 | speaker | DJ4Oceananigans: Differentiating an ocean general circulation model for gradient-based parameter calibration and online learning | — |
| Mantas Mikaitis | JuliaCon Global 2026 | speaker | Accuracy of Mathematical Functions in Julia | — |
| Martin Mikkelsen | JuliaCon Global 2026 | speaker | Testability-First Design for Few-Body Systems Physics | — |
| Milan Klöwer | JuliaCon Global 2026 | speaker | The GPU acceleration of SpeedyWeather.jl, the friendly and flexible climate model | — |
| Milan Klöwer | JuliaCon Global 2026 | speaker | Differentiable Climate Modeling: Calibrating SpeedyWeather with Enzyme | — |
| Milan Klöwer | JuliaCon Global 2026 | speaker | A learned surface roughness scheme for climate prediction in SpeedyWeather.jl | — |
| Milan Klöwer | JuliaCon Global 2026 | speaker | SpeedyWeather.jl: Towards a differentiable and GPU-capable general circulation model | — |
| Sarah Williamson | JuliaCon Global 2026 | bof | Differentiable Modeling BoF: Discussion and Future Directions | — |
| Sarah Williamson | JuliaCon Global 2026 | speaker | Online calibration of a Neural Network Parameterization in ShallowWaters.jl | — |
| Tim Weiland | JuliaCon Global 2026 | speaker | Scalable Bayesian Spatial Modeling in Julia with GMRFs and INLA | — |
| Peter McCullagh | JSM 2026 (Joint Statistical Meetings) | named lecture | What Is a Regression Model? | — |
| Sallie Keller | JSM 2026 (Joint Statistical Meetings) | named lecture | Rethinking Statistical Quality in a Data-Rich World: A Comprehensive Life Cycle Framework | — |
| Matthew Feickert | SciPy 2026 | tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Matthew Feickert | SciPy 2026 | bof | Securing the Scientific Python Supply Chain (in Heritage Gallery Room) | — |
| Matthew Feickert | SciPy 2026 | bof | Lockfile-based development and applications | — |
| Aleksander Jankowski | useR! 2026 | lightning | GO-a-GO: Gene Ontology enrichment analysis of gene pairs | — |
| Brittany Blankinship | useR! 2026 | workshop | LeaRn and teach at the same time with Pair Programming – code storytelling activity | — |
| Brittany Blankinship | useR! 2026 | lightning | How many coders does it take to write a book? Teaching Programming Across Disciplines is out now! | — |
| H. Sherry Zhang | useR! 2026 | poster | An LLM-based Pipeline for Understanding Decision Choices in Data Analysis from Published Literature | — |
| Henrik Bengtsson | useR! 2026 | speaker | Futurize - Tearing Down Parallelization Barriers in R with Transpilers | — |
| Henrik Bengtsson | useR! 2026 | workshop | Introduction to Parallel Processing in R using Futureverse - Easier than Ever Before | — |
| Janez Bijec | useR! 2026 | lightning | From Administrative Data to Interactive Healthcare Benchmarking: An End-to-End R Workflow | — |
| Katarzyna Kopczewska | useR! 2026 | workshop | Modelling spatial density of geo-located point data | — |
| Matthew Haffner | useR! 2026 | lightning | R as Complete Teaching Infrastructure: Automating and Enriching University Geography Education | — |
| Ozancan Ozdemir | useR! 2026 | poster | FinDash Pro: An Integrated R Shiny Dashboard for Real-Time Financial Analysis, Machine Learning Forecasting, and LLM-Augmented Decision Support | — |
| Pawel Orzechowski | useR! 2026 | lightning | How many coders does it take to write a book? Teaching Programming Across Disciplines is out now! | — |
| Pawel Orzechowski | useR! 2026 | workshop | LeaRn and teach at the same time with Pair Programming – code storytelling activity | — |
| Sinead Moylett | useR! 2026 | lightning | Evaluating imputation strategies for longitudinal cohort studies | — |
| Wang Pok Lo | useR! 2026 | poster | Visualisation of results from large simulation studies: introducing the multi-performance plot and its Shiny app | — |
| Philip Resnik | ACL 2026 (64th Annual Meeting of the ACL) | keynote | A New Balancing Act: Reflections on the Relationship between Computational Linguistics and AI | — |
| Arunachalam Manikandan | AI Engineer World's Fair 2026 | speaker | Autoresearch in a Multi-Agent AI Village | — |
| Virginie Grosboillot | DuckCon #7 | talk | Phages and DuckDB: The mighty duo against the giants | — |
| Anil Madhavapeddy | CNG London 2026 | speaker | TESSERA: Pixelwise Embeddings of Earth Observations | — |
| Ross Slater | CNG London 2026 | lightning talk | Going Cloud-Native without the Cloud: Lessons Learned from Antarctic Ice Dynamics | — |
| Muhammad Mamdani | 10th Annual Toronto Machine Learning Summit (TMLS) 2026 | speaker | Artificial Intelligence in Healthcare: From Promise to Practice | — |
| Steven Waslander | 10th Annual Toronto Machine Learning Summit (TMLS) 2026 | speaker | Reasoning Robots: Open World Navigation and Memory for Agentic Robots | — |
| Emilie Ma | Berlin Buzzwords 2026 | talk | Correctness Too Cheap To Meter: Formal Verification and LLMs | Slides · Video |
| Andrew Igdal | PyData London 2026 | talk | What Can LLMs Do with Messy Residential Electrification Data? | — |
| Nick Radcliffe | PyData London 2026 | tutorial | Test-Driven Data Analysis | — |
| Luke Zettlemoyer | MLSys 2026 | keynote | Rethinking Pretraining: Data and Architecture | — |
| Yuhan Liu | MLSys 2026 | keynote | LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference | — |
| Arya Hadizadeh Moghaddam | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | industry paper | User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering | — |
| Pedro Domingos | ODSC AI East 2026 | keynote | — | — |
| Lorenzo Satta Chiris | MLcon Amsterdam 2026 | speaker | AURA: A Practical Risk Framework for Autonomous AI Agents | — |
| Sarah Masud | PyCon DE & PyData 2026 | talk | Tracking Knowledge Diversity in LLM-Generated Responses. | — |
| Hanna Hajishirzi | GTC 2026 | featured | — | — |
| Martin Kleppmann | QCon London 2026 | keynote | Mitigating Geopolitical Risks with Local-First Software and atproto | — |
| Omar Ghattas | GTC 2026 | featured | — | — |
| Xiangpeng Hao | San Francisco Apache DataFusion Meetup (February 2026) | speaker | LiquidCache: Pushdown Caching for DataFusion | Video |
| Danfeng Zhang | FOSDEM 2026 | speaker | All in RISC-V, RISC-V All in AI: Solving Real AI Compute Challenges with DeepComputing & Tenstorrent | Video |
| Denis Hirn | DuckDB Developer Meeting #1 | talk | DuckPL: A procedural language in DuckDB | Slides · Video |
| Alan Mackworth | AAAI-26 (40th AAAI Conference on Artificial Intelligence) | keynote | The Essence of Intelligence is Appropriate Action (not thinking, reasoning, learning or language) and other things every student of AI should know | — |
| David Poole | AAAI-26 (40th AAAI Conference on Artificial Intelligence) | keynote | The Essence of Intelligence is Appropriate Action (not thinking, reasoning, learning or language) and other things every student of AI should know | — |
| Peter Stone | AAAI-26 (40th AAAI Conference on Artificial Intelligence) | keynote | From How to learn to What to learn in Multiagent Systems and Robotics | — |
| Amir Shaikhha | CIDR 2026 | paper | Raqlet: Cross-Paradigm Compilation for Recursive Queries | Slides · Paper |
| Bobbi Yogatama | CIDR 2026 | paper | Rethinking Analytical Processing in the GPU Era | Slides · Paper |
| El Kindi Rezig | CIDR 2026 | paper | Towards Scalable Visual Data Wrangling via Direct Manipulation | Slides · Paper |
| Guorui Xiao | CIDR 2026 | paper | KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration | Slides · Paper |
| Muhammad Imam Luthfi Balaka | CIDR 2026 | paper | The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent | Slides · Paper |
| Ryan Marcus | CIDR 2026 | paper | Survivorship Bias in Industrial Database Workloads | Slides · Paper |
| Alexander Oonk | PyData Eindhoven 2025 | talk | Football is complex, but your code doesn’t have to be — meet DataBallPy and a practical deep dive into pressing | Video |
| Craig Knoblock | ACML 2025 | keynote | From Tables to Knowledge Graphs: A Domain-Independent Approach to Semantic Table Interpretation | — |
| Tygo Nikamp | PyData Eindhoven 2025 | talk | Football is complex, but your code doesn’t have to be — meet DataBallPy and a practical deep dive into pressing | Video |
| George Townsend | FOSS4G 2025 | speaker | Measuring Soil Moisture With GPS Multipath and Open Source Software? | — |
| Martin Tomko | FOSS4G 2025 | speaker | Confessions of a Natural Intelligence Vibe Coder? | — |
| Martin Tomko | FOSS4G 2025 | speaker | A Digital Twin of 80km of streetscapes, with FOSS4G? Sure! | — |
| Michel Nzikou Mamboukou | FOSS4G 2025 | speaker | Automatic map deconstruction using QGIS: Leveraging open-source algorithms such as map2loop and LoopStructural | — |
| Michel Nzikou Mamboukou | FOSS4G 2025 | workshop | QGIS PLUGIN DEVELOPMENT Workshop | — |
| Shivam Tiwari | SQLSaturday Houston #1120 | — | SQL-Driven Financial Crime Detection: Advanced Analytics for Transaction Monitoring | — |
| Ojas Ankurbhai Ramwala | PyData Seattle 2025 | speaker | Explainable AI for Biomedical Image Processing | Video |
| Hannaneh Hajishirzi | EMNLP 2025 | keynote | Open-Science AI: Building Language, Vision, and Reasoning Models that Drive Innovation | — |
| John R Hoopes | FOSS4G North America 2025 | speaker | Astral: A spatial extension for the decentralized web | — |
| Nishant Kheterpal | JupyterCon 2025 | lightning talk | Lightning Talk: RISE and Shine: Teaching With Jupyter Notebooks in Real Time | — |
| Prof Leo Paas | CDAO New Zealand 2025 | speaker | — | — |
| Simona Carini | JupyterCon 2025 | tutorial | Tutorial: Jupyter for Health: Exploring Patient Generated Health Data, Standards, Tools, AI Workflows | Slides |
| Suraj Rampure | JupyterCon 2025 | lightning talk | Lightning Talk: RISE and Shine: Teaching With Jupyter Notebooks in Real Time | — |
| Tasha Marie Snow | JupyterCon 2025 | speaker | Building a Thriving Scientific Community Without Boundaries: Jupyter as a Process, Not a Product | — |
| Taylor M. Oshan | FOSS4G North America 2025 | speaker | Astral: A spatial extension for the decentralized web | — |
| Taylor M. Oshan | FOSS4G North America 2025 | speaker | Advancing the Python Geospatial Stack: Building Community Across Domains | — |
| Ganesh Gopalakrishnan | PyTorch Conference 2025 | poster | Poster Presentations: Ecosystem & Performance | — |
| Harvey Dam | PyTorch Conference 2025 | poster | Poster Presentations: Ecosystem & Performance | — |
| Jie-Si Yang | PyTorch Conference 2025 | poster | Poster Presentations: Ecosystem & Performance | — |
| Junchen Jiang | PyTorch Conference 2025 | speaker | Scaling KV Caches for LLMs: How LMCache + NIXL Handle Network and Storage Heterogeneity | — |
| Matt Archer | PyTorch Conference 2025 | lightning talk | Lightning Talk: FTorch: A Library To Couple PyTorch ML Models With Fortran Climate Models | — |
| Ranganath Selagamsetty | PyTorch Conference 2025 | poster | Poster Presentations: Edge & Hardware Acceleration | — |
| Yuxuan Jiang | PyTorch Conference 2025 | poster | Poster Presentations: Ecosystem & Performance | — |
| Abby Crocker | PyData Vermont 2025 | speaker | Trust in Data: Community Partnership for Meaningful Change | — |
| Ashley Fehr | PyData Vermont 2025 | speaker | Context is all you need: FUNdamental linguistics for NLP | Video |
| Ben Cooley | PyData Vermont 2025 | tutorial | The Art of Data: Hand-crafted, Human-centered Data Visualization | Video |
| Cameron Murdoch | PGConf.EU 2025 (15th PostgreSQL Conference Europe) | speaker | Patroni: what the blog posts don't tell you... | Slides · Video |
| Fitz Koch | PyData Vermont 2025 | speaker | Open Source Vermont Data Platform: Access, Analysis, and Visualization | Video |
| Julia Witte Zimmerman | PyData Vermont 2025 | speaker | Context is all you need: FUNdamental linguistics for NLP | Video |
| Alex Singleton | Spatial Data Science Conference 2025 New York | speaker | Deep Learning for Next-Generation Geodemographic Classification | — |
| Vaibhav Agrawal | CDAO Perth 2025 | speaker | — | — |
| Paul Pickell | State of the Map 2025 | speaker | Lessons from teaching OpenStreetMap in a masters program | — |
| Lucas Colley | PyData Paris 2025 | talk | A Hitchhiker's Guide to the Array API Standard Ecosystem | Video |
| Dr Robert Esnouf | Big Data LDN 2025 | keynote | Accelerating biomedical research at the University of Oxford | — |
| Dom Weldon | PyCon UK 2025 | talk | Why, and how, all your Python code should be Declarative in the Age of Generative AI | — |
| Claus Wilke | posit::conf(2025) | speaker | Teaching data visualization with R entirely in Quarto | Video |
| Dylan Pieper | posit::conf(2025) | speaker | From messy to meaningful data: LLM-powered classification in R | Video |
| Ella Kaye | posit::conf(2025) | lightning | Birthing the pregnancy package | Video |
| Eric Scott | posit::conf(2025) | lightning | Enabling geospatial workflow management with targets: an R package origin story | Video |
| Kylie Ainslie | posit::conf(2025) | speaker | Elevating Public Health Decision-Making with R Packages | Video |
| Ghazaleh Niknam | PyCon AU 2025 | talk | Object-Oriented Oncology: Making Sense of Complex Patient Journeys | Video |
| Neha | PyCon AU 2025 | talk | Hierarchical Clustering: Finding the awkward reunions | Video |
| Stephen Tierney | PyCon AU 2025 | talk | Taking Back the Streets: NaviLens and the Fight for Open Navigation | Video |
| Christian Biggs | CDAO Melbourne 2025 | speaker | — | — |
| Catherine Nakalembe | 2025 Geo for Good Summit Singapore | speaker | Anthrokrishi: Digitizing agriculture at an individual field level for targeted data driven allocation of resources & services | — |
| Justin Huang | DDAC 2025 | featured | Andy's Toy Box: Sketching Out Research Methodology | — |
| Abigale Kim | DuckDB in Science Meetup (London) | lightning talk | Anarchy in the database: A survey and evaluation of database management system extensibility | Slides · Video |
| Torsten Grust | DuckDB in Science Meetup (London) | lightning talk | Ducks love running in circles | Slides · Video |
| Daniel Chen | The New York Data Science & AI Conference 2025 | workshop | Workshop: Introduction of LLMs/AI | — |
| Daniel Chen | The New York Data Science & AI Conference 2025 | talk | LLMs, Chatbots, and Dashboards: Visualize Your Data with Natural Language | Video |
| Ben Hansen | useR! 2025 | poster | Safety first: Design-informed inference for treatment effects via the propertee package for R | — |
| Jesse Miller | useR! 2025 | speaker | distfreereg: A New R Package for Distribution-Free Parametric Regression Testing | — |
| Joshua Wasserman | useR! 2025 | lightning | propertee: Flexible Covariance Adjustment and Improved Standard Errors in Analyses of Intact Clusters | — |
| Alexander Dawid | JSM 2025 (Joint Statistical Meetings) | named lecture | A Lifetime of Irrelevance | — |
| Ji-Hyun Lee | JSM 2025 (Joint Statistical Meetings) | keynote | Statistics, Data Science, and AI Enriching Society | — |
| Richard Samworth | JSM 2025 (Joint Statistical Meetings) | named lecture | Nonparametric Inference Under Shape Constraints: Past, Present, and Future | — |
| Tony Cai | JSM 2025 (Joint Statistical Meetings) | keynote | — | — |
| Yuting Wei | JSM 2025 (Joint Statistical Meetings) | named lecture | To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models | — |
| Corinne Bannon | 19th Annual CDOIQ Symposium | panelist | Session 18-C: Why Does a University Need a CDO? | — |
| Ravneet Chadha | 19th Annual CDOIQ Symposium | panelist | Session 18-C: Why Does a University Need a CDO? | — |
| Frauke Kreuter | ICML 2025 | keynote | Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter | — |
| Cordero Core | SciPy 2025 | bof | AI for Scientific Discovery | — |
| Elise Chavez | SciPy 2025 | speaker | Enabling Innovative Analysis on Heterogeneous Clusters through HTCdaskgateway | — |
| Matthew Feickert | SciPy 2025 | tutorial | Reproducible Machine Learning Workflows for Scientists with pixi | — |
| Scott Henderson | SciPy 2025 | speaker | The brave new world of slicing and dicing Xarray objects. | — |
| Scott Henderson | SciPy 2025 | tutorial | Hierarchical Data Analysis with Xarray DataTree & Zarr | — |
| Tim Monko | SciPy 2025 | speaker | From the outside, in: How the napari community supports users and empowers transition to contribution | — |
| Tim Monko | SciPy 2025 | tutorial | Create custom image visualization and analysis tools with napari | — |
| Margo Seltzer | SIGMOD/PODS 2025 | keynote | The Case for Collaboration (Everything a Database Person really needs to know about Machine Learning) | — |
| Neil Lawrence | The AI Summit London 2025 | keynote | Business and the Atomic Human: Strategic Decision Making in the Age of AI | — |
| Andreas Bohman | AI Con USA 2025 | keynote | AI at Scale: Balancing Innovation, Governance, and Risk in Large Organizations | — |
| Andrew McDonald | Snowflake Summit 2025 | speaker | Quiz Question Analytics Pipeline with External API Data Source Enrichment | — |
| Bobbi Yogatama | STAC Summit Chicago, Spring 2025 | speaker | The case for GPU acceleration beneath the database stack | — |
| Xiangyao Yu | STAC Summit Chicago, Spring 2025 | speaker | The case for GPU acceleration beneath the database stack | — |
| Dr. Patrick Ballantyne | Spatial Data Science Conference 2025 London | speaker | Improving Pedestrian Safety with Spatial Data & Optimisation Models | — |
| Doyne Farmer | ODSC East 2025 | keynote (virtual) | AI and Agent-Based Models in Economics | — |
| Michael Bronstein | Qlik Connect 2025 | featured | Qlik AI Council session | — |
| Aashish Panta | CNG Conference 2025 | speaker | Scalable Web-Based Exploration and RAG-enhanced Insights for NASA's Downscaled Climate Data | — |
| Emma Marshall | CNG Conference 2025 | speaker | Cloud-native geospatial datacube workflows with Xarray and Zarr | — |
| Dr. Michele Claibourn | PyData Virginia 2025 | speaker | Exploring Eviction Trends in Virginia | Video |
| Lane Rasberry | PyData Virginia 2025 | tutorial | Introduction to Wikidata | Video |
| Rajkumar Venkatesan | PyData Virginia 2025 | keynote | Keynote: Building AI-First Organizations | Video |
| Samantha Toet | PyData Virginia 2025 | speaker | Exploring Eviction Trends in Virginia | Video |
| Sihang Jiang | PyData Virginia 2025 | speaker | Bayesian Risk Analysis For Large Multi-Modal Data | Video |
| Siwen Liao | PyData Virginia 2025 | speaker | The Art of Brain Data in ASD Subjects: Celebrating Neurodiversity Through Aesthetic Data Visualization | Video |
| Alexandra Meliou | EDBT/ICDT 2025 | keynote | Data Management Perspectives on Prescriptive Analytics | — |
| Paris Koutris | EDBT/ICDT 2025 | keynote | The Quest for Faster Join Algorithms | — |
| Szymon Toruńczyk | EDBT/ICDT 2025 | ICDT invited lecture | Evaluating first-order formulas in structured graphs | — |
| Tony Cohn | AAAI-25 (39th AAAI Conference on Artificial Intelligence) | keynote | Can Large Language Models Reason about Spatial Information? | — |
| Radostin Stoyanov | FOSDEM 2025 | speaker | Optimizing Resource Utilization for Interactive GPU Workloads with Transparent Container Checkpointing | Slides · Video |
| Troels Henriksen | FOSDEM 2025 | speaker | OpenCL, CUDA, and HIP as compilation targets for functional array programs | Slides · Video |
| Amol Deshpande | CIDR 2025 | paper | Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction | — |
| Gang Liao | CIDR 2025 | paper | Bullion: A Column Store for Machine Learning | — |
| Jason Hu | CIDR 2025 | paper | DPDPU: Data Processing with DPUs | — |