Roger D. Peng

Bio

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas at 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.

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

Recent Work

Evaluating the Alignment of a Data Analysis between Analyst and Audience, with Lucy D’Agostino McGowan and Stephanie Hicks

Association of a Housing Mobility Program With Childhood Asthma Symptoms and Exacerbations, with many others.

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.

Design Principles for Data Analysis with Lucy D’Agostino McGowan and Stephanie Hicks.

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
Jennifer Bobb PhD, Biostatistics Kaiser Permanente Washington Health Research Institute
Howard Chang PhD, Biostatistics Emory University

Education

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

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

B.S. Applied Mathematics | Yale University

Credits

Thanks to Sean Kross for the postcards package

Roger D. Peng

Bio

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas at 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.

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

Recent Work

Evaluating the Alignment of a Data Analysis between Analyst and Audience, with Lucy D’Agostino McGowan and Stephanie Hicks

Association of a Housing Mobility Program With Childhood Asthma Symptoms and Exacerbations, with many others.

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.

Design Principles for Data Analysis with Lucy D’Agostino McGowan and Stephanie Hicks.

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
Jennifer Bobb PhD, Biostatistics Kaiser Permanente Washington Health Research Institute
Howard Chang PhD, Biostatistics Emory University

Education

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

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

B.S. Applied Mathematics | Yale University

Credits

Thanks to Sean Kross for the postcards package