University of Southampton
Also listed as 1 other name
University of Southampton Research Software Engineer
Circuit mix
Where University of Southampton 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 science67%2 events
- Postgres & open-source databases33%1 event
The year around now
Conferences where University of Southampton 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.
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 Southampton has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownHad speakers at 1 conference in 2026, down from 2 in 2024.
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.
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
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.
Sponsorships 0
No sponsorships recorded for University of Southampton.
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Austen Wallis | PyData London 2026 | talk | Fast-Forward(ing) Models: Accelerating High-Dimensional Inference with AI Emulators | — |
| Chris Frohmaier | PyData Amsterdam 2024 | tutorial | Mastering Data Flow: Empower Your Projects with Prefect's Pipeline Magic | — |
| Kryspin Varys | FOSDEM 2024 | speaker | Practical Introduction to Safe Reinforcement Learning | Slides · Video |