University of British Columbia
Circuit mix
Where University of British Columbia shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science50%5 events
- Research20%2 events
- Open-source data infrastructure10%1 event
- Postgres & open-source databases10%1 event
- AI engineering & MLOps10%1 event
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. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
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 British Columbia has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 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 2
First speaker in 2025 or later.
- Berlin Buzzwordsfirst spoke 2026, 1 speaker
- New York R Conference (now The New York Data Science & AI Conference)first spoke 2025, 1 speaker
No longer seen 6
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- JupyterConlast seen 2023; the conference ran again with speaker lists in 2025
- MLOps World (Machine Learning in Production)last seen 2024; the conference ran again with speaker lists in 2025
- PGConf.dev (formerly PGCon)last seen 2024; the conference ran again with speaker lists in 2025–26
- posit::conf (formerly rstudio::conf)last seen 2024; the conference ran again with speaker lists in 2025–26
- PyCon (national Python conferences)last seen 2021; the conference ran again with speaker lists in 2022–26
- PyDatalast seen 2022; the conference ran again with speaker lists in 2023–26
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).
- University of Copenhagen0.80
- Philip Morris International0.76
- Haystack0.72
- The George Washington University0.70
- Spare Cores0.70
- YData0.70
- OLX Group0.69
- Mercari0.68
8 Cluster: PyData · posit::conf 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 British Columbia (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 British Columbia.
Speakers 11
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Emilie Ma | Berlin Buzzwords 2026 | talk | Correctness Too Cheap To Meter: Formal Verification and LLMs | Slides · Video |
| Daniel Chen | The New York Data Science & AI Conference 2025 | talk | LLMs, Chatbots, and Dashboards: Visualize Your Data with Natural Language | Video |
| Daniel Chen | The New York Data Science & AI Conference 2025 | workshop | Workshop: Introduction of LLMs/AI | — |
| Margo Seltzer | SIGMOD/PODS 2025 | keynote | The Case for Collaboration (Everything a Database Person really needs to know about Machine Learning) | — |
| Jeff Clune | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker (virtual) | Open-Ended and AI-Generating Algorithms in the Era of Foundation Models | — |
| Tiffany Timbers | posit::conf(2024) | workshop | Introduction to Machine Learning in Python with Scikit-learn | — |
| Margo Seltzer | PGConf.dev 2024 | keynote | Keynote: When Hardware and Databases Collide | Video |
| James Colliander | JupyterCon 2023 | speaker | Accelerating Discovery for NASA Cryosphere Communities with JupyterHub | — |
| Daniel Chen | PyData NYC 2022 | speaker | Install Python. Quarto Render All the Things | Video |
| Laks V.S. Lakshmanan | SIGMOD/PODS 2022 | keynote | On A Quest for Combating Filter Bubbles and Misinformation | — |
| Lindsey Heagy | PyCon Colombia 2021 | keynote | — | — |