Conferences / useR! (The R User Conference)
useR! 2025
Aug 8–10, 2025 · Penn Pavilion, Duke University, Durham, NC, United States
- Conference
- useR! (The R User Conference) Data science & ML
- Dates
- Aug 8, 2025 – Aug 10, 2025
- Venue
- Penn Pavilion, Duke University
- Place
- Durham, NC, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- user2025.r-project.org
- Recorded
- 11 sponsors · 121 speaker appearances
- Notes
- Hosted by Duke University and the Duke Center for Computational Thinking. A free virtual conference was held separately on 1 August 2025 (virtual talks not recorded). Tutorials on 8 August, talks 9-10 August. Speakers: full in-person program (keynotes, talks, lightning talks, tutorials, posters, sponsor session) with affiliations as printed in the program.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Student (Early bird) | $150 | Apr 30, 2025 | user2025.r-project.org | |
| Academia / Non-profit / Government (Early bird) | $350 | Apr 30, 2025 | user2025.r-project.org | |
| Industry (Early bird) | $500 | Apr 30, 2025 | user2025.r-project.org | |
| Student (Regular) | $200 | Jul 15, 2025 | user2025.r-project.org | |
| Academia / Non-profit / Government (Regular) | $450 | Jul 15, 2025 | user2025.r-project.org | |
| Industry (Regular) | $650 | Jul 15, 2025 | user2025.r-project.org | |
| Student (Late / Onsite) | $250 | Aug 1, 2025 | user2025.r-project.org | |
| Academia / Non-profit / Government (Late / Onsite) | $550 | Aug 1, 2025 | user2025.r-project.org | |
| Industry (Late / Onsite) | $800 | Aug 1, 2025 | user2025.r-project.org | |
| Violet Sponsor | $1,000 | — | user2025.r-project.org | |
| Bronze Sponsor | $5,000 | — | user2025.r-project.org | |
| Silver Sponsor | $10,000 | — | user2025.r-project.org | |
| Gold Sponsor | $15,000 | — | user2025.r-project.org | |
| Platinum Sponsor | $25,000 | — | user2025.r-project.org |
Sponsors 11
Platinum 1
Gold 1
Silver 1
Bronze 2
Other 6
- American Statistical Association · Violet
- CRC Press
- Duke University · Violet
- Kogalur and Company · Violet
- O'Reilly
- Spare Cores · Violet
Speakers and talks 121
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Frauke Kreuter | University of Maryland + Ludwig Maximilian University | Keynote | Data in the Balance: Incentives, Independence, and Public Statistics | Video |
| Hadley Wickham | Posit | Keynote | I wrote this talk with an LLM | Video |
| Simon Urbanek | University of Auckland + R Core | Keynote | R in the AI Era: Leveraging Modern Technologies in Practice | Video |
| Will Landau | Eli Lilly and Company | Keynote | Powerful simulation pipelines with {targets} | Video |
| Yanina Bellini Saibene | rOpenSci + R-Ladies + Universidad Austral | Keynote | We R Together. How to learn, use and improve a programming language as a community. | Video |
| Aashay Mahesh Mehta | — | Poster | Leveraging R for Multi-State Modeling in Real-World Oncology Research | — |
| Abhinandra Singh | North Carolina State University | Lightning | The Art of the Question: Building an Effective R Consultation Program in an Academic Library | — |
| Ahmad Manivarnosfaderani | University of Arkansas for Medical Sciences | Speaker | Machine Learning-Powered Metabolite Identification in R: An Automated Workflow for Identifying Metabolomics Dark Matter | — |
| Ahmad Pratama | Stony Brook University | Lightning | Rediscovering R for Library Data Instruction with Google Colab | — |
| Alexander Fisher | Duke University | Speaker | Reproducible pedagogy with R and Quarto | — |
| Anastasija Skotorenko | Charles University | Poster | R4R, reproducibility for R | — |
| ANDREA GOMEZ VARGAS | — | Speaker | ARcenso: A Package Born from Chaos, Powered by Community | — |
| Andrea Sánchez-Tapia | Global Fishing Watch | Lightning | gfwr, an R package to access data from the Global Fishing Watch APIs | — |
| Anna Giczewska | — | Lightning | Facilitating Open-Source Transitions: Lessons Learned from a Hands-On R Training Initiative | — |
| Barret Schloerke | Posit | Speaker | {plumber2}: Streamlining Web API Development in R | — |
| Beatriz Campillo Miñano | UNC Chapel Hill | Speaker | Developing interactive apps for genomics data analysis with Shiny | — |
| Ben Hansen | University of Washington | Poster | Safety first: Design-informed inference for treatment effects via the propertee package for R | — |
| Benedikt Schmid | University Hospital Würzburg | Speaker | Reproducible integrated processing of a large investigator-initiated, randomized-controlled multicenter clinical trial using Quarto and R | — |
| Benjamin Wagner | Flatiron Health | Poster | Reproducible Research at Scale using R | — |
| Braden Scherting | Duke University | Speaker | Counting Birds Two Ways: Joint models of species abundance | — |
| Bruce Franz | Ramboll | Poster | Optical Character Recognition (OCR) Screening in R for PFAS in Project Documents | — |
| Calvin Cho | Duke University | Poster | Automating GCaMP Fluorescence Analysis for Neuronal Activity Quantification in Stress Response Studies | — |
| Carlos Petzold | RTI International | Speaker | Navigating the Transition: Lessons from Adopting an Open-Source Approach | — |
| Chris Kao | Flagler College | Speaker | Standardizing Institutional Research Operations Using R | — |
| Christin Phelps | North Carolina State University | Speaker | Expanding Data Science’s Reach through Interdisciplinarity and the Humanities | — |
| Claire Murphy | North Carolina State University | Poster | Scaling R Support in an Academic Library: Data-Driven Insights from North Carolina State University’s Data Science Consulting Program | — |
| Claudia Penaloza | Continental | Speaker | R & Python play nice, in production | — |
| Colin Rundel | Duke University | Speaker | Parsing Quarto and R Markdown documents in R | — |
| Davis Vaughan | Posit | Speaker | Air - A blazingly fast R code formatter | — |
| Dror Berel | — | Speaker | From Frustration to Function: Tackling the Challenges of New Tech Adoption “Cracking the Code: Overcoming Early Hurdles with New Open-Source Tools” | — |
| E. David Aja | Posit | Workshop | Debugging Tools for Functions in R | — |
| Elijah Meyer | North Carolina State University | Workshop | Teaching statistics and data science with R and GitHub | — |
| Elyse Armstrong | Common App | Workshop | R You Out of Memory Again? Level Up Your Data Game with Arrow and DuckDB | — |
| EMANUEL CIARDULLO | — | Speaker | ARcenso: A Package Born from Chaos, Powered by Community | — |
| Emil Hvitfeldt | Posit | Speaker | sparsity support in tidymodels, faster and less memory hungry models | — |
| Filip Křikava | Czech Technical University in Prague | Speaker | R4R: Reproducibility for R | — |
| Frederic Bertrand | Troyes University of Applied Sciences | Poster | Applying GAM and MARS using R to predict daily household electricity load curves | — |
| Gabe Becker | Independent | Speaker | rtables: Challenges, Advances and Lessons Learned Going Into Production At J&J | — |
| Gergely Daroczi | — | Speaker | Getting Things Logged | — |
| Grant McDermott | Amazon Web Services | Speaker | tinyplot: convenient and customizable base R plots | — |
| Hanxia Li | — | Speaker | ChatR: A Context-Aware Assistant for Accurate R Programming Support | — |
| Harriet Mason | Monash University | Speaker | Visualising Uncertainty with ggdibbler | — |
| Henrik Bengtsson (University of California San Francisco (UCSF)) | — | Speaker | Futureverse P2P: Peer-to-Peer Parallelization in R using Futureverse | — |
| Isabella Velásquez | Posit | Workshop | Complex Survey Data Analysis: A Tidy Introduction with {srvyr} and {survey} | — |
| Jagadish Katam | — | Speaker | Automating CDISC Metadata Retrieval: An R-Based Approach Using the CDISC Library API | — |
| James Harr | Christian Brothers University | Speaker | Expanding Data Science’s Reach through Interdisciplinarity and the Humanities | — |
| Jason Bryer | City University of New York | Speaker | Predictive Modeling with Missing Data | — |
| JEANNE MCCLURE | NC State University | Workshop | R You Out of Memory Again? Level Up Your Data Game with Arrow and DuckDB | — |
| Jennifer Bryan | Posit | Workshop | Getting Started with Positron: A Next-Generation IDE for data science | — |
| Jeremy Selva | National Heart Centre Singapore | Speaker | Retrospective clinical data harmonisation reporting using R and Quarto | — |
| Jeremy Selva | National Heart Centre Singapore | Lightning | pretestcad: An R package to calculate PreTest Probability (PTP) scores for obstructive Coronary Artery Disease (CAD) | — |
| Jeremy Wildfire | Gilead Sciences | Speaker | Identifying Adverse Event Under-Reporting in Clinical Trials: A Statistical Approach | — |
| Jesse DeLaRosa | Duke University | Poster | Partially automated driving, EEG signals, and eye-tracking data: Using R to consolidate multiple subject files for machine learning models | — |
| Jesse Miller | University of Washington | Speaker | distfreereg: A New R Package for Distribution-Free Parametric Regression Testing | — |
| Jessie Maier | North Carolina State University | Speaker | Detecting Read Coverage Patterns Indicative of Genetic Variation and Mobility | — |
| John Blischak | — | Speaker | Implementing function factories for flexible clinical trial simulations | — |
| John Zito | Duke University | Speaker | Rhapsody in R: Exploring Probability Through Music | Video |
| Joshua Wasserman | University of Washington | Lightning | propertee: Flexible Covariance Adjustment and Improved Standard Errors in Analyses of Intact Clusters | — |
| Julia Silge | Posit | Workshop | Getting Started with Positron: A Next-Generation IDE for data science | — |
| Julia Silge | Posit | Speaker | Outgrowing your laptop with Positron | — |
| Julius Torres Kellinghusen | New York University | Poster | The Workplace Wellbeing Assessment: Using R to evaluate organizational factors impacting mental health and wellbeing of international aid workers | — |
| Justin Landis | UNC Chapel Hill | Workshop | Tidy manipulation of genomic data | — |
| Kelly Bodwin | California Polytechnic State University | Speaker | Adding new algorithms to {tidyclust} | — |
| Kelsey Dufresne | North Carolina State University | Speaker | Expanding Data Science’s Reach through Interdisciplinarity and the Humanities | — |
| Kimberly Henry | Colorado State University | Lightning | An Interactive webR Approach to Teaching Statistical Inference to Behavioral Science Students | — |
| Kris Sankaran | — | Speaker | Multimedia: An R package for multimodal mediation analysis | — |
| Larry Silverstein | Exasol | Sponsor talk | Exasol | — |
| Laura Maxwell | Atorus Research | Speaker | Identifying Adverse Event Under-Reporting in Clinical Trials: A Statistical Approach | — |
| Lionel Henry | Posit | Speaker | Air - A blazingly fast R code formatter | — |
| Lowell Gould | Smithfield Foods | Speaker | Implementing Posit® Team: Lessons Learned | — |
| Lucy D’Agostino McGowan | Wake Forest University | Speaker | Date and time: | — |
| Luis D. Verde Arregoitia | Instituto de Ecología AC - INECOL | Lightning | Bringing the fun of hex stickers to your R session | — |
| Malcolm Barrett | Stanford University | Workshop | Causal Machine Learning in R | — |
| Maria Tackett | Duke University | Workshop | Teaching statistics and data science with R and GitHub | — |
| Mark McCahill | Duke University | Speaker | Coursework RStudio Infrastructure at scale: Duke and NCShare | — |
| Matthew Hirschey | — | Speaker | Building Agentic Workflows in R with axolotr | — |
| McCall Pitcher | Duke University | Lightning | Storytelling with ggplot2: Using custom functions to sequence visualizations | — |
| Merlise Clyde | Duke University | Speaker | Bayesian Variable Selection and Model Averaging in R using BAS | — |
| Michael Fliss | UNC Chapel Hill | Lightning | Celebrating R: Code Snippets from NC Public Health Epidemiology | — |
| Michael Lawrence | — | Speaker | wizrd: Programming with LLMs in R | — |
| Michael Love | UNC Chapel Hill | Workshop | Tidy manipulation of genomic data | — |
| Michele Claibourn | Center for Community Partnerships | Speaker | Modeling Eviction Trends in Virginia | — |
| Mike Konczal | Economic Security Project | Speaker | From #EconTwitter to the White House: Real-Time Economic Data with R | — |
| Mine Cetinkaya-Rundel | Duke University + Posit, PBC | Speaker | Leveraging LLMs for student feedback in introductory data science courses | — |
| Mitchell O’Hara-Wild | Monash University | Speaker | Visualizing time with ggtime’s grammar of temporal graphics | — |
| Myriam Maumy | EHESP | Poster | Using R and explainable machine learning to estimate green value of household | — |
| Neal Richardson | Posit | Speaker | Scaling Up Data Workflows with Arrow, Parquet, and DuckDB | — |
| Neal Richardson | Posit | Sponsor talk | Posit, PBC | — |
| Nicolas Escobar | Indiana University | Speaker | Introducing riemmtan | — |
| Nicolas Foss | Bureau of Emergency Medical and Trauma Services, Division of Public Health, Iowa Health and Human Services | Speaker | useR to Analyze Emergency Medical and Trauma Data | — |
| Nicole Nasrallah | Flatiron Health | Poster | Reproducible Research at Scale using R | — |
| Noam Ross | rOpenSci | Speaker | Curating a Community of Packages: Lessons from a Decade of rOpenSci Peer Review | — |
| Olivier Leroy | — | Speaker | Data as code, packaging data as code with duckdb and S3 | — |
| Pierre Donat-Bouillud | Czech Technical University in Prague | Speaker | R4R: Reproducibility for R | — |
| Piyadi Gamage Jayani Lakshika | Monash University | Speaker | Generating interesting high-dimensional data structures | — |
| Pol Castellano Escuder | Heureka | Speaker | Multi-omics Integration with GAUDI: A Novel R Package for Non-linear Dimensionality Reduction and Interpretable Clustering Analysis | — |
| Rachel McLawhon | — | Speaker | Integrating R Models into Automated Machine Learning Pipelines with SAS | — |
| Rebecca Powell | Fors Marsh | Workshop | Complex Survey Data Analysis: A Tidy Introduction with {srvyr} and {survey} | — |
| Rob Schick | Southall Environmental Associates, Inc | Speaker | Using R to Track, Monitor and Detect Changes in Movement and Diving Patterns of Beaked Whales off Cape Hatteras, NC | — |
| Russ Conte | Owner@dataaip.com | Speaker | “How did you even think of that???” Techniques to code much faster | — |
| Samantha Toet | Center for Community Partnerships | Speaker | Modeling Eviction Trends in Virginia | — |
| Selene Schmittling | North Carolina State University | Speaker | Enhancing R Instruction: Adapting Workshops for Time-Constrained Learners | — |
| Shannon Pileggi | The Prostate Cancer Clinical Trials Consortium | Workshop | Debugging Tools for Functions in R | — |
| Sheila Saia | R-Ladies RTP | Poster | R-Ladies Global: Promoting Diversity and Inclusion in the R Community for Nearly a Decade | — |
| Sheila Saia | R-Ladies RTP | Workshop | R You Out of Memory Again? Level Up Your Data Game with Arrow and DuckDB | — |
| Simon Couch | Posit | Speaker | Small boosts, here and there | — |
| Simon Urbanek | R Foundation | Sponsor talk | R Foundation | — |
| Stephanie Zimmer | RTI International | Workshop | Complex Survey Data Analysis: A Tidy Introduction with {srvyr} and {survey} | — |
| Stephanie Zimmer | RTI International | Speaker | Accessing Census Data in R through APIs | — |
| Susan Vanderplas | University of Nebraska - Lincoln | Speaker | Teaching Statistical Computing with R and Python | — |
| Terry Christiani | R Consortium | Sponsor talk | R Consortium | — |
| Thomas Charlon | Harvard University | Speaker | Co-occurrence Analysis And Knowledge Graphs For Biomedical Research | — |
| Timothy Bender | — | Speaker | Every Eclipse Visible from Your Current Location for the Rest of Your Life (with shiny) | — |
| Tomasz Kalinowski | Posit | Speaker | quickr: Translate R to Fortran for Improved Performance | — |
| Tyson Barrett | Highmark Health | Speaker | The Language of Data: How R Package Syntax Shapes Analysis and Thought | — |
| Umair Durrani | Presage Group | Speaker | Web APIs for useRs: Getting data from websites, databases, and LLMs | — |
| Vincent Arel-Bundock | Université de Montréal | Workshop | From Model to Meaning: How to use the marginaleffects package to interpret results from statistical or machine learning models | — |
| Vincent Arel-Bundock | Université de Montréal | Lightning | tinytable: A lightweight package to create simple and configurable tables in a wide variety of formats | — |
| Visruth Srimath Kandali | Cal Poly | Speaker | Final Flourishes | — |
| William Gearty | Syracuse University | Speaker | paleopal: a highly modular and interactive Shiny app for building reproducible data science workflows in paleontology | — |
| Yunzhi Qian | — | Poster | Utilizing R and Terra to describe the geographic distribution of patients with Early and Advanced Non-Small Cell Lung Cancer | — |