Harvard University
Also listed as 11 other names
Harvard · Harvard Business Publishing Corporate Learning · Harvard Business School · Harvard Center for Geographic Analysis · Harvard Medical School · Harvard Medical School Center for Bioethics · Harvard Medical School, Department of Biomedical Informatics · Harvard SEAS · Harvard University Department of Earth and Planetary Sciences · Harvard University John F. Kennedy School of Public Policy · Harvard University/Google Research
Circuit mix
Where Harvard University shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research38%14 events
- Python & R data science35%14 events
- Enterprise, analyst & AI expos8%3 events
- AI engineering & MLOps8%3 events
- Cloud providers5%2 events
- Geospatial & mapping5%2 events
- Modern data stack & practitioner3%1 event
The year around now
Conferences where Harvard University 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.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Bronze
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- IEEE VIS (IEEE Visualization and Visual Analytics)last sponsored 2019; the conference ran again in 2022–23 and 2025
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 University0.78
- Stanford University0.75
- University of Washington0.75
- ETH Zurich0.74
- Tel Aviv University0.74
- Stony Brook University0.73
- Massachusetts Institute of Technology0.73
- Emory University0.72
14 Cluster: JSM · useR! circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Adobe | 1 | 100% |
| Data Machines Corp | 1 | 100% |
| Data Visualization Society | 1 | 100% |
| FireEye | 1 | 100% |
| Fraunhofer IGD | 1 | 100% |
| 1 | 100% | |
| Hochschule Mannheim | 1 | 100% |
| IBM/MIT | 1 | 100% |
| Intel | 1 | 100% |
| KAUST | 1 | 100% |
| Kitware | 1 | 100% |
| Microsoft | 1 | 100% |
| Morgan & Claypool | 1 | 100% |
| Northeastern University | 1 | 100% |
| NVIDIA | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Harvard University (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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| IEEE VIS 2019 | Oct 20–25, 2019 | Vancouver, Canada | Bronze | Bronze |
Speakers 52
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Milad Rezaei Hajidehi | CIDR 2027 | paper | Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data | — |
| Nils Gehlenborg | IEEE VIS 2026 | capstone | The Eyes Still Have It: Do They? | — |
| Inger Bergom | posit::conf(2026) | speaker | One Report, Many Audiences: Role‑Based Views in Posit Connect | — |
| Pragya Sur | JSM 2026 (Joint Statistical Meetings) | named lecture | Modern Machine Learning Through the Eyes of a Statistician | — |
| Michelle Audirac | PyTorch Conference Europe 2026 | poster | Poster Presentations: Applications & Case Studies | — |
| Vijay Janapa Reddi | PyTorch Conference Europe 2026 | speaker | Build PyTorch to Understand PyTorch | — |
| Meag Doherty | JupyterCon 2025 | keynote | Keynote: Making the Right Thing the Easy Thing | — |
| Chuin Wei Tan | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Warren Zhu | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Stratos Idreos | VLDB 2025 (51st) | keynote | Alphabets, Grammars, Calculators, and the End of Hand-Crafted Systems | — |
| Ethan Kyzivat | 2025 Geo for Good Summit NYC | speaker | Eye of the Storm: Mapping, Mitigating, and Responding to Climate Disasters | — |
| Thomas Charlon | useR! 2025 | speaker | Co-occurrence Analysis And Knowledge Graphs For Biomedical Research | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | speaker | FlexiJoins.jl: the ultimate package for dataset joining | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | speaker | Accessors.jl beyond @set, or a tour of the opticland | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | lightning | DictArrays.jl: performant type-unstable collections | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | lightning | Using arrays as lightweight tables: Base and DataManipulation.jl | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | lightning | Lightweight composable plotting: MakieExtra's FPlot | — |
| Alexander (Sasha) Plavin | JuliaCon 2025 | lightning | Juggling astro catalogs in Julia: convenience meets performance | — |
| Dominic Chang | JuliaCon 2025 | speaker | Krang.jl: Physics inference from images of black holes | — |
| Erandi Chavez | JuliaCon 2025 | lightning | Bayesian Multifrequency Imaging for Radio Astronomy | — |
| Jerry Ling | JuliaCon 2025 | lightning | Making histograms on GPU how hard can that be? | Slides |
| Michael Steven Farrington | JuliaCon 2025 | lightning | Making histograms on GPU how hard can that be? | Slides |
| Finale Doshi-Velez | ODSC East 2025 | keynote | — | — |
| Utku Sirin | CIDR 2025 | paper | Frequency-Store: Scaling Image AI by A Column-Store for Images | — |
| Xiaojie Gao | 2024 Geo for Good Summit Dublin | panelist | Panel: Nature Based Climate Solutions: A Path Forward | — |
| Xihong Lin | KDD 2024 (30th ACM SIGKDD Conference) | keynote | Empower an End-to-End Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science | — |
| Moran Cabili | 18th Annual CDOIQ Symposium | speaker | — | — |
| Patrick Mair | useR! 2024 | speaker | Flexible Multidimensional Scaling with the R Packages Smacofx, Cops and Stops | — |
| Trevor Manz | SciPy 2024 | speaker | anywidget: custom Jupyter Widgets made easy | — |
| Trevor Manz | SciPy 2024 | tutorial | Bring your __repr__’s to life with anywidget | — |
| Elizabeth S. Spelke | AAAI-24 (38th AAAI Conference on Artificial Intelligence) | keynote | How Children Learn | — |
| Milind Tambe | AAAI-24 (38th AAAI Conference on Artificial Intelligence) | keynote | ML+Optimization: Driving Social Impact in public health and conservation | — |
| Susan Murphy | NeurIPS 2023 | keynote | Online Reinforcement Learning in Digital Health Interventions | Video |
| Francesca Dominici PhD | AWS re:Invent 2023 | breakout | Bridging research and computing to tackle the world's grand challenges | Video |
| Bowen S. Zhu | JuliaCon 2023 | speaker (online) | ModelOrderReduction.jl -- Symbolic-Enhanced Model Simplification | — |
| Katia Walsh | 17th Annual CDOIQ Symposium | speaker | — | — |
| Anders Johansson | SciPy 2023 | speaker | Allegro and FLARE: Fast and accurate machine learning potentials for extreme-scale simulations | — |
| Alyssa Goodman | JupyterCon 2023 | keynote | Alyssa Goodman Keynote | — |
| Susan A. Murphy | AAAI-23 (37th AAAI Conference on Artificial Intelligence) | keynote | We used Reinforcement Learning; but did it work? | — |
| Ariella Kristal | EARL 2022 | talk | Building an R Package to Combat Gender Bias in the British Civil Service. | — |
| Lynda M. Applegate | 16th Annual CDOIQ Symposium | speaker | — | — |
| Robert McKinney | 16th Annual CDOIQ Symposium | speaker | — | — |
| Lauren Lombardo | Government & Public Sector R Conference 2021 | speaker | Building Government Platforms | Video |
| Radhika Nagpal | NeurIPS 2021 | keynote | The Collective Intelligence of Army Ants, and the Robots They Inspire | — |
| Dr. Christoph Gorgulla | AWS re:Invent 2021 | breakout | Democratizing drug discovery through the largest-ever known single Region HPC run | Slides · Video |
| Gwynn Sturdevant | Government & Public Sector R Conference 2020 (R|Gov) | speaker | FasteR Code: Vectorizing Computations in R | Video |
| Maciej Wielgus | PyCon PL 2019 | keynote | — | — |
| Xiao-Li Meng | JSM 2019 (Joint Statistical Meetings) | keynote | 011, 010111, and 011111100100 | — |
| Cynthia Dwork | SIGMOD/PODS 2019 | PODS keynote | Differential Privacy and the US Census | — |
| Cynthia Dwork | WiDS Stanford Conference 2019 | speaker | Differential Privacy and the US Census | Video |
| Benjamin Lewis | PyCon Colombia 2019 | keynote | — | — |
| Stratos Idreos | CIDR 2019 | paper | Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn | Paper |