University of Southern California
Circuit mix
Where University of Southern California 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 & practitioner43%3 events
- Research29%2 events
- Open-source data infrastructure14%1 event
- Python & R data science14%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 | ||||||||||
| ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | ||||||||||
| ACML (Asian Conference on Machine Learning) | ||||||||||
| DataWorks Summit | ||||||||||
| PyData |
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 Southern California has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownNothing recorded in 2026; had speakers at 1 conference 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 1
First speaker in 2025 or later.
- ACML (Asian Conference on Machine Learning)first spoke 2025, 1 speaker
No longer seen 3
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)last seen 2022; the conference ran again with speaker lists in 2023–26
- Data Con LAlast seen 2023; the conference ran again with speaker lists in 2024–26
- PyDatalast seen 2019; the conference ran again with speaker lists in 2020–26
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).
- Feedzai0.82
- DevITJobs0.75
- MDPI0.70
- Streamlit0.70
- Cubist Systematic Strategies0.70
- Recursion0.69
- Hong Kong University of Science and Technology0.69
- Two Sigma0.69
16 Cluster: PyCon · EuroPython 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 Southern California (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 Southern California.
Speakers 7
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Craig Knoblock | ACML 2025 | keynote | From Tables to Knowledge Graphs: A Domain-Independent Approach to Semantic Table Interpretation | — |
| Greg Faletto | Data Con LA 2023 | speaker | Predicting Purchases, Rare Diseases, and More: Using Ordinal Regression to Estimate Rare Event Probabilities | Video |
| Shang-Hua Teng | KDD 2022 (28th ACM SIGKDD Conference) | keynote | Beyond Traditional Characterizations in the Age of Data: Big Models, Scalable Algorithms, and Meaningful Solutions | — |
| Arif Ansari | Data Con LA 2022 | speaker | Perfect Viral Ad prediction of Super bowl 2022 using Tease, Test, Tweak and Target method | — |
| Hayley Song | PyData Los Angeles 2019 | speaker | Experimental Machine Learning with HoloViz and PyTorch in Jupyterlab | Video |
| Abbass Sharif, PhD. | Data Con LA 2019 | keynote | — | — |
| Mayank Kejriwal | DataWorks Summit Washington, DC 2019 | speaker | Applying Noisy Knowledge Graphs to Real Problems | — |