Hal Stern is Chancellor’s Professor in the Department of Statistics at the University of California, Irvine (UCI). He is known for his research work developing Bayesian statistical methods and model assessment techniques and for collaborative projects in the life sciences and the social sciences. He has published more than 100 refereed journal articles and he is a co-author of the highly-regarded graduate level statistics text Bayesian Data Analysis. Current areas of interest include applications of statistical methods in psychology, personalized medicine, sports statistics and forensic science. He is a Fellow of the American Association for the Advancement of Science (AAAS), American Statistical Association (ASA) and the Institute for Mathematical Statistics (IMS). Stern received his B.S. degree in Mathematics from the Massachusetts Institute of Technology in 1981 and M.S. and Ph.D. degrees in Statistics from Stanford University in 1985 and 1987, respectively.