University of Wisconsin-Madison
Circuit mix
Where University of Wisconsin-Madison shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research56%10 events
- Python & R data science28%5 events
- Enterprise, analyst & AI expos6%1 event
- AI engineering & MLOps6%1 event
- Software engineering & trading tech6%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 Wisconsin-Madison has never sponsored a tracked conference, so this follows where its speakers appear instead.
UpHad speakers at 2 conferences in 2026, up 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 3
First speaker in 2025 or later.
- EDBT/ICDT Joint Conferencefirst spoke 2025, 1 speaker
- PyTorch Conferencefirst spoke 2025, 1 speaker
- STAC Summitfirst spoke 2025, 2 speakers
No longer seen 4
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- ACM SIGMOD/PODS (International Conference on Management of Data)last seen 2023; the conference ran again with speaker lists in 2024–26
- Disney Data & Analytics Conferencelast seen 2024; the conference ran again with speaker lists in 2025–26
- IEEE ICDE (International Conference on Data Engineering)last seen 2024; the conference ran again with speaker lists in 2025–26
- posit::conf (formerly rstudio::conf)last seen 2019; the conference ran again with speaker lists in 2020–26
Regulars 1
Speakers in most years of the span.
- CIDR (Conference on Innovative Data Systems Research)speakers in 6 of 9 years, 2019–27
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 California, Santa Cruz0.83
- Yale University0.76
- Tel Aviv University0.72
- University of Pennsylvania0.70
- TU Dresden0.69
- Duke University0.67
- Harvard University0.64
- University of Illinois Urbana-Champaign0.64
2 Cluster: CIDR · ACM SIGMOD/PODS 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 Wisconsin-Madison (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 Wisconsin-Madison.
Speakers 26
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Simon Frisk | CIDR 2027 | paper | Reclaiming the GPU's Forgotten Half: Getting Your Join's Mojo Back with Tensor Cores | — |
| Matthew Feickert | SciPy 2026 | bof | Securing the Scientific Python Supply Chain (in Heritage Gallery Room) | — |
| Matthew Feickert | SciPy 2026 | tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Matthew Feickert | SciPy 2026 | bof | Lockfile-based development and applications | — |
| Bobbi Yogatama | CIDR 2026 | paper | Rethinking Analytical Processing in the GPU Era | Slides · Paper |
| Ranganath Selagamsetty | PyTorch Conference 2025 | poster | Poster Presentations: Edge & Hardware Acceleration | — |
| Elise Chavez | SciPy 2025 | speaker | Enabling Innovative Analysis on Heterogeneous Clusters through HTCdaskgateway | — |
| Matthew Feickert | SciPy 2025 | tutorial | Reproducible Machine Learning Workflows for Scientists with pixi | — |
| Bobbi Yogatama | STAC Summit Chicago, Spring 2025 | speaker | The case for GPU acceleration beneath the database stack | — |
| Xiangyao Yu | STAC Summit Chicago, Spring 2025 | speaker | The case for GPU acceleration beneath the database stack | — |
| Paris Koutris | EDBT/ICDT 2025 | keynote | The Quest for Faster Join Algorithms | — |
| Martin Prammer | CIDR 2025 | paper | Towards Functional Decomposition of Storage Formats | — |
| Laura Albert | DDAC 2024 | featured | Five Ways to Balance People and Business, Disney Style | — |
| Kyle Cranmer | SciPy 2024 | keynote | — | — |
| Kyle Cranmer | SciPy 2024 | speaker | Keynote: Particles, People, and Pull Requests | — |
| Matthew Feickert | SciPy 2024 | speaker | How the Scientific Python ecosystem helps answering fundamental questions of the Universe | — |
| Xin Tang | ICDE 2024 (40th IEEE International Conference on Data Engineering) | industry paper | Separation Is for Better Reunion: Data Lake Storage at Huawei | — |
| Kevin P Gaffney | CIDR 2024 | paper | Is Perfect Hashing Practical for OLAP Systems? | Paper |
| Yifei Yang | CIDR 2024 | paper | Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries | Paper |
| Jason M Mohoney | SIGMOD/PODS 2023 | industry paper | High-Throughput Vector Similarity Search in Knowledge Graphs | — |
| Martin Prammer | CIDR 2022 | paper | Introducing a Query Acceleration Path for Analytics in SQLite3 | Video · Paper |
| Yunjia Zhang | CIDR 2022 | paper | Can Transfer Learning be used to build a Query Optimizer? | Video · Paper |
| David Hoese | SciPy 2019 | tutorial | — | — |
| Yash Govind | SIGMOD/PODS 2019 | industry paper | Entity Matching Meets Data Science: A Progress Report from the Magellan Project | — |
| Karl Broman | rstudio::conf 2019 | speaker | R/qtl2: Rewrite of a very old R package | Slides · Video |
| Zuyu Zhang | CIDR 2019 | paper | Data Partitioning for In-Memory Systems: Myths, Challenges, and Opportunities | Paper |