Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. His research focuses on the development of statistical methods for addressing environmental health problems and he has made major contributions to our understanding of the health effects of indoor and outdoor air pollution. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. He is also the co-creator of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. Roger is a Fellow of the American Statistical Association and is the recipient of the Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health.


Ph.D. in Statistics | University of California, Los Angeles

M.S. in Statistics | University of California, Los Angeles

B.S. Applied Mathematics | Yale University


Thanks to Sean Kross for the postcards package