February 21, 2019

Peter Mueller

Dr. Peter Mueller


Peter Mueller is Professor in the Department of Statistics & Data Science and the Department of Mathematics at the University of Texas at Austin, and Adjunct Professor at the Department of Biostatistics, M.D. Anderson Cancer Center.

He has published widely on computational methods in Bayesian statistics, nonparametric Bayesian statistics and decision problems, with an emphasis on applications in biostatistics and bioinformatics. His research accomplishments include the development of novel inference models for non-parametric Bayesian inference, principled Bayesian multiplicity adjustments, simulation-based approaches to Bayesian decision problems, and innovative Bayesian clinical trial designs. He has published four books, on adaptive Bayesian clinical trial design, nonparametric Bayesian methods, and computational Bayesian statistics; six edited volumes and over 200 peer-reviewed papers.

Besides many graduate level courses he has taught short courses on Bayesian biostatistics, Bayesian clinical trial design, nonparametric Bayesian inference, medical decision making and more. He has served as president of the International Society for Bayesian Analysis, and as chair for the Section on Bayesian Statistics of the American Statistical Association.

He is a fellow of the American Statistical Association, the International Society of Bayesian Analysis and the Institute of Mathematical Statistics.