UCLA
Circuit mix
Where UCLA shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner73%7 events
- Python & R data science13%2 events
- Vendor flagships & roadshows7%1 event
- Research7%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| Data Con LA | ||||||||||
| JupyterCon | ||||||||||
| ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | ||||||||||
| OmniSci Converge | ||||||||||
| SciPy Conference (Scientific Computing with Python) | ||||||||||
| Women in Data Science (WiDS) Conference |
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.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Silver
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 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.
Steady 1
Sponsored in most years of its span at the same tier.
- Data Con LAevery year 2023–26, mostly unranked 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).
- Arizona State University0.87
- Caltech0.83
- StarRocks0.62
- Trustpilot0.59
- University of Southern California0.59
- prefix.dev0.54
- Wikimedia Foundation0.54
- NASA0.52
2 Cluster: CIDR · ACM SIGMOD/PODS circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| AI LA | 4 | 100% |
| OWASP Los Angeles | 4 | 100% |
| California State University, Long Beach | 3 | 75% |
| ISSA-LA | 3 | 75% |
| openSUSE | 3 | 75% |
| Women in Big Data | 3 | 75% |
| USC | 2 | 50% |
| Ware Valley | 2 | 50% |
| AITP-LA | 1 | 25% |
| Amazon Web Services | 1 | 25% |
| Black Diamond Advisory | 1 | 25% |
| California Fedora | 1 | 25% |
| DevITJobs | 1 | 25% |
| Franz Inc | 1 | 25% |
| KPMG | 1 | 25% |
Neighborhood: companies with nearby conference footprints
UCLA (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 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Data Con LA 2026 | Aug 22, 2026 | Long Beach, United States | Sponsors | Other |
| Data Con LA 2025 | Nov 8, 2025 | Long Beach, United States | Sponsors | Other |
| Data Con LA 2024 | Nov 16, 2024 | Long Beach, United States | Sponsors | Other |
| Data Con LA 2023 | Aug 12, 2023 | Los Angeles, United States | Silver | Silver |
Speakers 15
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Guang Cheng | Data Con LA 2026 | speaker | Arbitrage and Insider Trading in Polymarket: Evidence and Implications | — |
| Yurii Nosov | Data Con LA 2026 | speaker | Arbitrage and Insider Trading in Polymarket: Evidence and Implications | — |
| Frederic Schoenberg | Data Con LA 2025 | speaker | Training-Free Multi-Agent Language Models | — |
| Xiaowu Dai | Data Con LA 2025 | speaker | Training-Free Multi-Agent Language Models | — |
| Arthur Funnell | JupyterCon 2025 | speaker | EquiBoots Tutorial on Bias and Fairness Analysis of Sensitive Attributes From an ML Model | Slides |
| Leon Shpaner | JupyterCon 2025 | speaker | EDA Toolkit Tutorial on Streamlining Exploratory Data Analysis in Jupyter | Slides |
| Leon Shpaner | JupyterCon 2025 | speaker | EquiBoots Tutorial on Bias and Fairness Analysis of Sensitive Attributes From an ML Model | Slides |
| Jason Cong | KDD 2025 (31st ACM SIGKDD Conference) | keynote | Deep Learning Meets Chip Design: Driving Next-Gen Efficiency and Innovation | — |
| Frederic Schoenberg | Data Con LA 2024 | keynote | Data Con LA 2024 Keynote | — |
| Guang Cheng | Data Con LA 2024 | speaker | Towards Trustworthy Data Collaborations in GenAI Era | — |
| Desi Small-Rodriquez | WiDS Stanford Conference 2023 | speaker | — | — |
| Davina Zamanzadeh | SciPy 2022 | speaker | pyampute: a Python library for data amputation | — |
| Brian Blackwell | Data Con LA 2021 | speaker | Operationalizing predictive analytics for homelessness prevention in Los Angeles | — |
| Safiya Noble | Data Con LA 2020 | keynote | — | — |
| Samantha Chappell | OmniSci Converge 2019 | speaker | The Galaxy in a Dashboard: Visualizing the Milky Way using OmniSci | — |