University of California, Berkeley
Also listed as 2 other names
University of California Berkeley · University of California at Berkeley
Circuit mix
Where University of California, Berkeley shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research72%23 events
- Vendor flagships & roadshows13%4 events
- Python & R data science6%2 events
- Enterprise, analyst & AI expos3%1 event
- AI engineering & MLOps3%1 event
- Geospatial & mapping3%1 event
The year around now
Conferences where University of California, Berkeley 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.
Where they've grown or pulled back
University of California, Berkeley has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownNothing recorded in 2026; had speakers at 5 conferences in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
New conferences spoken at 3
First speaker in 2025 or later.
- ICLR (International Conference on Learning Representations)first spoke 2025, 1 speaker
- JupyterConfirst spoke 2025, 3 speakers
- Snowflake Summitfirst spoke 2025, 2 speakers
No longer seen 8
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- ACL (Annual Meeting of the Association for Computational Linguistics)last seen 2023; the conference ran again with speaker lists in 2024–26
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)last seen 2021; the conference ran again with speaker lists in 2022–26
- Data + AI Summitlast seen 2019; the conference ran again with speaker lists in 2022–26
- IEEE ICDE (International Conference on Data Engineering)last seen 2020; the conference ran again with speaker lists in 2021–26
- NeurIPS (Conference on Neural Information Processing Systems)last seen 2024; the conference ran again with speaker lists in 2025
- Ray Summitlast seen 2022; the conference ran again with speaker lists in 2023–26
- SciPy Conference (Scientific Computing with Python)last seen 2019; the conference ran again with speaker lists in 2022–26
- World AI Cannes Festival (WAICF)last seen 2023; the conference ran again with speaker lists in 2024–26
Regulars 4
Speakers in most years of the span.
- CIDR (Conference on Innovative Data Systems Research)speakers in 5 of 6 years, 2022–27
- JSM (Joint Statistical Meetings)speakers in 2 of 3 years, 2023–25
- MLSys (Conference on Machine Learning and Systems)speakers in 3 of 4 years, 2022–25
- NVIDIA GTCspeakers in 2 of 2 years, 2024–25
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).
- Meta0.78
- Princeton University0.78
- Two Sigma0.77
- Stanford University0.77
- Springer Nature0.75
- Cambridge University Press0.75
- Georgia Institute of Technology0.73
- ByteDance0.72
0 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Neighborhood: companies with nearby conference footprints
University of California, Berkeley (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 0
No sponsorships recorded for University of California, Berkeley.
Speakers 42
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Sultan Muratbek | CIDR 2027 | paper | Concord: A Video Relational Algebra for Cross-Modal Query Optimization | — |
| Rebecca Dang | JupyterCon 2025 | lightning talk | Lightning Talk: Teaching Data Engineering at Scale With Jupyter Notebooks at UC Berkeley | Slides |
| Sean Michael Morris | JupyterCon 2025 | lightning talk | Lightning Talk: Scaling Data 8 With JupyterHub Across California’s Colleges | Slides |
| Yijun Ge | JupyterCon 2025 | tutorial | Tutorial: Teaching AI With Small Language Models on JupyterHub | — |
| Peter Bickel | JSM 2025 (Joint Statistical Meetings) | named lecture | Local Asymptotic Analysis: A General Quantitative Tool | — |
| Sandrine Dudoit | JSM 2025 (Joint Statistical Meetings) | named lecture | Learning from Data in Single-Cell Transcriptomics | — |
| Song Mei | JSM 2025 (Joint Statistical Meetings) | named lecture | A Statistical Theory of Contrastive Pre-Training and Multimodal Generative AI | — |
| Pamela Samuelson | ICML 2025 | keynote | Generative AI's Collision with Copyright Law | — |
| Aditya Parameswaran | Snowflake Summit 2025 | speaker | Building an Agentic Future | — |
| Dawn Song | Snowflake Summit 2025 | speaker | Building an Agentic Future | — |
| Ion Stoica | MLSys 2025 | keynote | An AI stack: from scaling AI workloads to evaluating LLMs | — |
| Dawn Song | ICLR 2025 | keynote | Towards Building Safe and Secure AI: Lessons and Open Challenges | — |
| Katherine Yelick | GTC 2025 | featured | — | — |
| Stuart J. Russell | AAAI-25 (39th AAAI Conference on Artificial Intelligence) | keynote | Can AI Benefit Humanity? | — |
| Asim Biswal | CIDR 2025 | paper | Text2SQL is Not Enough: Unifying AI and Databases with TAG | — |
| Alison Gopnik | NeurIPS 2024 | keynote | The Golem vs. Stone Soup: Understanding How Children Learn Can Help Us Understand And Improve AI | Video |
| Ritwik Gupta | SatSummit Washington DC 2024 | speaker | Machine Learning Talks | — |
| Kurt Keutzer | MLSys 2024 | keynote | GenAI Efficiency is About More than Models | — |
| Katherine Yelick | GTC 2024 | featured | — | — |
| Aditya Parameswaran | CIDR 2024 | paper | Revisiting Prompt Engineering via Declarative Crowdsourcing | Paper |
| Bin Yu | JSM 2023 (Joint Statistical Meetings) | named lecture | Seeking Boolean Interactions in Biomedicine and Proofs | — |
| Bin Yu | JSM 2023 (Joint Statistical Meetings) | named lecture | Sparse Dictionary Learning and Deep Learning in Practice and Theory | — |
| Bin Yu | JSM 2023 (Joint Statistical Meetings) | named lecture | Veridical Data Science Toward Trustworthy AI | — |
| Jennifer Doudna | ICML 2023 | keynote | The Future of ML in Biology: CRISPR for Health and Climate | — |
| Alison Gopnik | ACL 2023 (61st Annual Meeting of the ACL) | keynote | Large Language Models as Cultural Technologies: Imitation and Innovation in Children and Models | — |
| Stuart Russell | World AI Cannes Festival 2023 | featured | — | — |
| Suyash Gupta | CIDR 2023 | paper | Chemistry behind Agreement | Slides · Paper |
| Dawn Song | MLSys 2022 | keynote | Towards Building a Responsible Data Economy | — |
| Siyuan Zhuang | Ray Summit 2022 | speaker | Ray Workflow: Durable Ray tasks for efficient, flexible data pipelines | — |
| Shreya Shankar | CIDR 2022 | paper | Towards Observability for Machine Learning Pipelines | Video · Paper |
| Peter Bartlett | NeurIPS 2021 | keynote | Benign Overfitting | — |
| Claire Tomlin | KDD 2021 (virtual, Singapore) | keynote | Safe Learning in Robotics | — |
| Joseph Hellerstein | ICDE 2020 (36th IEEE International Conference on Data Engineering) | keynote | A Data-Centric Lens on Cloud Programming and Serverless Computing | — |
| Stuart Russell | AAAI-20 (34th AAAI Conference on Artificial Intelligence) | keynote | How Not to Destroy the World with AI | — |
| Bin Yu | NeurIPS 2019 | keynote | Veridical Data Science | — |
| Celeste Kidd | NeurIPS 2019 | keynote | How to Know | — |
| Patricia Hanus | SciPy 2019 | tutorial | — | — |
| Patricia Hanus | SciPy 2019 | speaker | To Comment or Not to Comment? A Data-Drive Look at Conflicting Attitudes Towards Commenting | — |
| Stéfan van der Walt | SciPy 2019 | tutorial | — | — |
| Alison Gopnik | ICML 2019 | keynote | What 4 year olds can do and AI can’t (yet) | — |
| David Patterson | Spark + AI Summit 2019 | keynote | — | — |
| Marta C. Gonzalez | AAAI-19 (33rd AAAI Conference on Artificial Intelligence) | keynote | Cases of Study in Computational Urban Science | — |