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 analytic design theory 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. 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.
A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data with Claire Heffernan, Drew Gentner, Kirsten Koehler, and Abhirup Datta.
Diagnosing Data Analytic Problems in the Classroom with Athena Chen, Eric Bridgeford, Jeff Leek, and Stephanie Hicks.
The Art of Data Science, with Elizabeth Matsui.
Check out all my books on LeanPub
Former Students and Postdocs
|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|
|Jennifer Bobb||PhD, Biostatistics||Kaiser Permanente Washington Health Research Institute|