Mine Çetinkaya-rundel
Professor Of The Practice at Duke University
Durham, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolMine Çetinkaya-Rundel is a Professor of the Practice at Duke University and a Developer Educator at Posit with 12+ years shaping statistics education through student-centered, computation-first curricula and open-source resources. She blends academic leadership—directing undergraduate studies and co-authoring OpenIntro Statistics—with hands-on software work, contributing to high-profile projects like r4ds, Quarto, and numerous Shiny apps. Her technical focus spans reproducible research, spatial and small-area estimation, and applied survey methods, while her GitHub contributions show strength across data processing, testing, UI polish, and full-stack Shiny development. Comfortable moving between pedagogy and production code, she repeatedly turns classroom needs into robust teaching tools and widely used open educational materials.
12 years of coding experience
3 years of employment as a software developer
BS, Actuarial Science, minor in Mathematics, BS, Actuarial Science, minor in Mathematics at NYU Stern School of BusinessPhD, Statistics, PhD, Statistics at University of California, Los Angeles
Turkish, French
Stackoverflow
133reputation
6kreached
2answers
1question
Github Skills (36)
data-visualizations10
unit-testing10
textbook10
website-development10
bootstrap10
web-application10
data-science10
storybook10
r10
css10
shiny10
data-visualisation10
user-interface10
quarto10
docbook10
Programming languages (19)
Github contributions (5)
ShinyEd/intro-stats
Nov 2013 - Sep 2022
Shiny apps for introductory statistics
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:62 commits, 15 PRs, 25 pushes in 8 years 11 months
Contributions summary:Mine focused on enhancing the UI and adding new functionality to the Shiny apps. They added text to indicate additional samples not shown and made improvements to the graphics, particularly in the sampling distribution plots. Further refinements were made to the sampling distribution and other minor cleanup of the code.
statisticsr-programmingshiny-appsshinyrstats
OpenIntroStat/ims
Sep 2016 - Dec 2022
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:4 releases, 48 reviews, 783 commits in 6 years 3 months
Contributions summary:Mine appears to have been actively involved in developing the codebase for this project. The commits show changes in multiple files including CSS, HTML, and Rproj files. This suggests a full-stack role as the user touches upon the front-end website structure and the back-end R code. The commits also indicate the creation of a bookdown project, suggesting a focus on document generation and content presentation.
statisticsbootstrap-confidence-intervalsapproachinferenceopenintro
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