Duke University
Also listed as 6 other names
Duke Clinical Research Institute · Duke Statistical Science · Duke University / Tumult Labs · Duke University Center for Computational Thinking · Duke University School of Medicine · Duke University, Trinity College of Arts & Sciences
Circuit mix
Where Duke 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.
- Python & R data science41%8 events
- Research36%8 events
- Enterprise, analyst & AI expos9%2 events
- Cloud providers5%1 event
- AI engineering & MLOps5%1 event
- Alt data & financial information5%1 event
The year around now
Conferences where Duke 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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2025.
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.
New 1
First sponsored in 2025 or later.
- useR! (The R User Conference)first sponsored 2025, unranked tier
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).
- Appsilon0.80
- Spare Cores0.74
- R Consortium0.74
- Raiffeisen Bank International0.74
- UNC Chapel Hill0.73
- CRC Press0.72
- Stony Brook University0.71
- RStudio0.70
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 |
|---|---|---|
| American Statistical Association | 1 | 100% |
| CRC Press | 1 | 100% |
| Duke Rhodes iiD | 1 | 100% |
| Exasol | 1 | 100% |
| Johnson & Johnson | 1 | 100% |
| Kogalur and Company | 1 | 100% |
| O'Reilly | 1 | 100% |
| Posit | 1 | 100% |
| R Consortium | 1 | 100% |
| Spare Cores | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Duke 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 |
|---|---|---|---|---|
| useR! 2025 | Aug 8–10, 2025 | Durham, United States | Violet | Other |
Speakers 31
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alexander Volfovsky | DDAC 2026 | featured | The Christmas Movie Playbook for Green-Lighting Analytical Projects | — |
| Amy Herring | JSM 2026 (Joint Statistical Meetings) | named lecture | — | — |
| Niko Sarcevic | SciPy 2026 | speaker | DerivKit: End-to-End Derivative-Based Inference in Scientific Python | — |
| Caitlin Lewis | PyData Boston 2025 | speaker | fastplotlib: driving scientific discovery through data visualization | Video |
| Bill Chen | JupyterCon 2025 | tutorial | Tutorial: Jupyter for Health: Exploring Patient Generated Health Data, Standards, Tools, AI Workflows | Slides |
| Jessilyn Dunn | JupyterCon 2025 | tutorial | Tutorial: Jupyter for Health: Exploring Patient Generated Health Data, Standards, Tools, AI Workflows | Slides |
| Kieran Healy | posit::conf(2025) | keynote | Trustworthy Data Visualization | Video |
| Alexander Fisher | useR! 2025 | speaker | Reproducible pedagogy with R and Quarto | — |
| Braden Scherting | useR! 2025 | speaker | Counting Birds Two Ways: Joint models of species abundance | — |
| Calvin Cho | useR! 2025 | poster | Automating GCaMP Fluorescence Analysis for Neuronal Activity Quantification in Stress Response Studies | — |
| Colin Rundel | useR! 2025 | speaker | Parsing Quarto and R Markdown documents in R | — |
| Jesse DeLaRosa | useR! 2025 | poster | Partially automated driving, EEG signals, and eye-tracking data: Using R to consolidate multiple subject files for machine learning models | — |
| John Zito | useR! 2025 | speaker | Rhapsody in R: Exploring Probability Through Music | Video |
| Maria Tackett | useR! 2025 | workshop | Teaching statistics and data science with R and GitHub | — |
| Mark McCahill | useR! 2025 | speaker | Coursework RStudio Infrastructure at scale: Duke and NCShare | — |
| McCall Pitcher | useR! 2025 | lightning | Storytelling with ggplot2: Using custom functions to sequence visualizations | — |
| Merlise Clyde | useR! 2025 | speaker | Bayesian Variable Selection and Model Averaging in R using BAS | — |
| Gunel Aghakishiyeva | AWS re:Invent 2024 | dev chat | Building explainable AI models with Amazon SageMaker | Video |
| Colin Rundel | posit::conf(2024) | workshop | Introduction to Shiny for R | — |
| Mine Çetinkaya-Rundel | SciPy 2024 | tutorial | Unlocking Dynamic Reproducible Documents: A Quarto Tutorial for Scientific Communication | — |
| Mine Çetinkaya-Rundel | PyData NYC 2023 | tutorial | From Jupyter Notebooks to websites with Quarto | — |
| Cynthia Rudin | DDAC 2023 | featured | From Influencers to Influencing Purchase: How to Leverage Organic Social to Amplify Media Investment | — |
| Jessilyn Dunn | KDD 2023 (29th ACM SIGKDD Conference) | ADS invited talk | — | — |
| David L. Banks | JSM 2022 (Joint Statistical Meetings) | named lecture | Deming and the Industries of Today | — |
| Vincent Conitzer | KDD 2021 (virtual, Singapore) | keynote | Automated Mechanism Design for Strategic Classification | — |
| Cynthia Rudin | TMLS Annual Conference & Expo 2020 | speaker | Interpretability vs. Explainability in Machine Learning | — |
| Michael J. Pencina | BattleFin Virtual Discovery Day (July 2020) | panelist | C-19: "State of the Pandemic" | — |
| Ashwin Machanavajjhala | EDBT/ICDT 2020 | keynote | Fair Decision-Making using Privacy Protected Data | — |
| Cynthia Rudin | KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | keynote | Do Simpler Models Exist and How Can We Find Them? | — |
| David Dunson | JSM 2019 (Joint Statistical Meetings) | named lecture | Learning and Exploiting Low-Dimensional Structure in High-Dimensional Data | — |
| Ios Kotsogiannis | CIDR 2019 | paper | Architecting a Differentially Private SQL Engine | Paper |