Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas, Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. His current research focuses on developing theory and methods for building successful data analyses and on the development of statistical methods for addressing environmental health problems. 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 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. Roger received a PhD in Statistics from the University of California, Los Angeles.

I am recruiting postdoctoral fellows in data science and environmental biostatistics.

Former Students and Postdocs

Name Degree Current
Xinyu (Sindy) Du ScM, Biostatistics Harvard University
Jia Coco Liu Postdoctoral Fellow Meta
Kayleigh Keller Postdoctoral Fellow Colorado State University
Helen Powell Postdoctoral Fellow University of Maryland
Katherine Freeland ScM, Biostatistics Sandia National Labs
Amber Hackstadt Postdoctoral Fellow Vanderbilt University
Brooke Anderson Postdoctoral Fellow Colorado State University
Jenna Krall PhD Biostatistics George Mason University
Detian Deng ScM, Biostatistics ByteDance