Roger Peng

  • Professor
  • Statistics and Data Sciences
Profile image of Roger Peng

Biography

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.

Research

Research Areas

  • Computational Medicine or Computational Science

Fields of Interest

  • Spatial and Spatio-Temporal Statistics
  • Statistical Computing

Education

  • Ph.D. in Statistics, University of California, Los Angeles, 2003