Massachusetts Institute of Technology
Also listed as 1 other name
Massachusetts Institute of Technology (ILP)
Circuit mix
Where Massachusetts Institute of Technology shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research46%12 events
- Python & R data science27%7 events
- Vendor flagships & roadshows4%1 event
- Modern data stack & practitioner4%1 event
- Open-source data infrastructure4%1 event
- Postgres & open-source databases4%1 event
- Enterprise, analyst & AI expos4%1 event
- Cloud providers4%1 event
- AI engineering & MLOps4%1 event
The year around now
Conferences where Massachusetts Institute of Technology 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.
- 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.
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
Massachusetts Institute of Technology has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownHad speakers at 4 conferences in 2026, down from 5 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 6
First speaker in 2025 or later.
- AWS re:Inventfirst spoke 2025, 1 speaker
- IEEE ICDE (International Conference on Data Engineering)first spoke 2026, 1 speaker
- JSM (Joint Statistical Meetings)first spoke 2025, 1 speaker
- MIT CDOIQ Symposiumfirst spoke 2026, 1 speaker
- PGDay Bostonfirst spoke 2026, 1 speaker
- PyTorch Conferencefirst spoke 2025, 1 speaker
No longer seen 9
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- AAAI Conference on Artificial Intelligencelast seen 2023; the conference ran again with speaker lists in 2024–26
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)last seen 2020; the conference ran again with speaker lists in 2021–26
- ACM SIGMOD/PODS (International Conference on Management of Data)last seen 2024; the conference ran again with speaker lists in 2025–26
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)last seen 2022; the conference ran again with speaker lists in 2023–26
- Data Councillast seen 2019; the conference ran again with speaker lists in 2020 and 2022–26
- ICML (International Conference on Machine Learning)last seen 2023; the conference ran again with speaker lists in 2024–26
- PyDatalast seen 2023; the conference ran again with speaker lists in 2024–26
- RedisConf / RedisDays / Redis Releasedlast seen 2019; the conference ran again with speaker lists in 2020 and 2022–25
- SciPy Conference (Scientific Computing with Python)last seen 2019; the conference ran again with speaker lists in 2022–26
Regulars 1
Speakers in most years of the span.
- CIDR (Conference on Innovative Data Systems Research)speakers in 4 of 6 years, 2022–27
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).
- Carnegie Mellon University0.80
- Stanford University0.75
- Harvard University0.73
- UC Santa Cruz0.72
- University of Washington0.70
- Georgia Institute of Technology0.70
- University of California, Berkeley0.68
- NSF0.68
14 Cluster: JSM · useR! 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
Massachusetts Institute of Technology (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 Massachusetts Institute of Technology.
Speakers 38
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Geoffrey Yu | CIDR 2027 | paper | EXPLAIN Yourself! Finding Query Planner Stalls Across DBMSes | — |
| Rabab Alomairy | JuliaCon Global 2026 | speaker | Sketch me an HPC program: Stencils with Dagger.jl | — |
| Vicki Carrica | JuliaCon Global 2026 | speaker | Hierarchical Precision and Recursion for Accelerating Symmetric Linear Solves on MXUs | — |
| Graham Rong | 20th Annual CDOIQ Symposium | speaker | Session 4-E: Scaling AI: From Research Collaboration to Enterprise Value | — |
| Michael Stonebraker | PGDay Boston 2026 | keynote | Keynote: Where did Postgres come from? | — |
| Tim Kraska | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | keynote | The End of Data System Engineering As We Know It | — |
| Jared Novotny | AWS re:Invent 2025 | breakout | Accelerating Research at Scale: MIT’s Self-Service Portal | — |
| Mit Kotak | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Rahul Mazumder | JSM 2025 (Joint Statistical Meetings) | named lecture | — | — |
| Xinjing Zhou | CIDR 2025 | paper | OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck | — |
| Milan Klöwer | JuliaCon 2024 | speaker | Earth and climate science in Julia: Power to the user | — |
| Milan Klöwer | JuliaCon 2024 | lightning | SpeedyWeather.jl: Reinventing atmospheric models | — |
| Milan Klöwer | JuliaCon 2024 | speaker | Discussion: Earth and climate science in Julia | — |
| Ziniu Wu | SIGMOD/PODS 2024 | industry paper | Stage: Query Execution Time Prediction in Amazon Redshift | — |
| Chris Rackauckas | PyData Eindhoven 2023 | talk | Building Fast Packages Faster: Julia as a Backend to Python and R | Video |
| Frank Schäfer | JuliaCon 2023 | lightning | Convex Optimization for Quantum Control in Julia | — |
| Frank Schäfer | JuliaCon 2023 | speaker | StochasticAD.jl: Differentiating discrete randomness | — |
| Frank Schäfer | JuliaCon 2023 | lightning | Differentiation of discontinuities in ODEs arising from dosing | — |
| Gael Forget | JuliaCon 2023 | speaker | JuliaEO 2023: Outcomes, Overview & Impact | — |
| Gael Forget | JuliaCon 2023 | speaker | Digital Twins for Ocean Robots | — |
| Joshua Villarreal | JuliaCon 2023 | lightning | ML-Based Surrogate Modeling of Particle Accelerators with Julia | — |
| Marzyeh Ghassemi | ICML 2023 | keynote | Taking the Pulse Of Ethical ML in Health | — |
| Josh Tenenbaum | AAAI-23 (37th AAAI Conference on Artificial Intelligence) | keynote | Learning to see the human way | — |
| Xinjing Zhou | CIDR 2023 | paper | Two is Better Than One: The Case for 2-Tree for Skewed Data Sets | Slides · Video · Paper |
| Regina Barzilay | ICML 2022 | keynote | Solving the Right Problems: Making ML Models Relevant to Healthcare and the Life Sciences | — |
| Tianyu Li | The Data Thread 2022 | talk | Mainlining Databases: Supporting Fast Transactional Workloads on Apache Arrow | Video |
| Josh Tenenbaum | CVPR 2022 | keynote | Learning to see the human way | — |
| Ziniu Wu | CIDR 2022 | paper | A Unified Transferable Model for ML-Enhanced DBMS | Video · Paper |
| Emery Brown | KDD 2020 (virtual) | keynote | — | — |
| Sara Seager | PyData New York City 2019 | keynote | Stars, Planets, and Python | Video |
| Chris Rackauckas | JuliaCon 2019 | bof | Dynamical Modeling in Julia | — |
| Chris Rackauckas | JuliaCon 2019 | workshop | Solving Differential Equations in Julia | — |
| Chris Rackauckas | JuliaCon 2019 | speaker | Scientific AI: Domain Models with Integrated Machine Learning | — |
| Chris Rackauckas | JuliaCon 2019 | workshop | Pharmaceutical Modeling and Simulation with Pumas | — |
| Sebastian Hanus | SciPy 2019 | tutorial | — | — |
| Praneeth Vepakomma | Data Council San Francisco 2019 | talk | Split Learning: A Resource Efficient Distributed Deep Learning Method without Sensitive Data Sharing | — |
| Praneeth Vepakomma | Data Council San Francisco 2019 | talk | Data Security and Privacy in the Age of Machine Learning | — |
| Andrew Tsai | RedisConf19 | speaker | Implementing Turing-complete Factor Graphs with Redis PubSub | — |