Roger Peng
Professor Of Statistics And Data Sciences
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inR Data Science and Visualization
Roger Peng is a Professor of Statistics and Data Sciences with 17 years of experience translating complex environmental health and biostatistics problems into reproducible data science solutions. He co-directed the widely used Data Science Specialization on Coursera and contributes course materials and R Markdown-based teaching resources on GitHub, underscoring his commitment to practical, open educational content. A seasoned researcher and author, he programs primarily in R, writes books on data science, and produces a podcast that brings technical topics to broader audiences. His career bridges top academic institutions—Yale undergraduate, a PhD from UCLA, long tenure at Johns Hopkins, and a current faculty role at UT Austin—blending rigorous research with hands-on pedagogy and public-facing communication.
17 years of coding experience
17 years of employment as a software developer
Bachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Yale UniversityDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of California, Los Angeles
Chinese, English
Github Skills (11)
html10
markdown10
rmarkdown10
reproducible-research10
markdown-it10
data-science10
r10
data-visualisation9
data-visualization9
data-visualizations9
css6
Programming languages (6)
Github contributions (5)
jtleek/modules
Oct 2013 - Jan 2014
Role in this project:
Data Scientist
Data ScientistContributions:253 commits in 3 months
Contributions summary:Roger's primary contribution appears to be the addition of a "Start loading/installing packages lecture". The code changes primarily involve the inclusion of CSS, suggesting the creation of a presentation, and possibly the loading or installation of necessary R packages. The commit messages strongly indicate that the user is involved in building or presenting educational materials related to the R programming language.
DataScienceSpecialization/courses
Jan 2014 - Mar 2016
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Role in this project:Data Scientist
Data ScientistContributions:142 commits, 14 PRs, 15 pushes in 2 years 2 months
Contributions summary:Roger's commits primarily focus on modifying the HTML and R Markdown files related to course materials within the `datasciencespecialization/courses` repository. They are adding case studies, including HTML files, and working on the organization and structure of the content. The modifications appear to be focused on the materials for reproducible research and include work on R Markdown.
pythonsciencedata-science-specializationspecializationdata-science
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