Hal S. Stern
Provost and Executive Vice Chancellor (Provost website)
and
Distinguished Professor, Department of Statistics (Department website)
Donald Bren School of Information and Computer Sciences (School website)
University of California, Irvine (University website)

Curriculum vitae (November 2024)

Short biography:
Hal Stern is Provost and Executive Vice Chancellor at the University of California, Irvine (UCI) and Distinguished Professor in the Department of Statistics. Provost Stern previously served UCI as founding chair of the Department of Statistics, Dean of the Donald Bren School of Information and Computer Sciences, and Vice Provost for Academic Planning. Prior to joining the faculty at UCI, he held faculty positions at Iowa State University and Harvard University. Within the field of statistics, Stern is known for his research on Bayesian statistical methods and for collaborative projects in the life sciences and social sciences. Current areas of interest include applications of statistics in forensic science and in psychiatry and human behavior. He is co-director of the Center for Statistics and Applications in Forensic Evidence, funded by the National Institute of Standards and Technology. Projects in the Center include statistical methods for analysis of footwear impression and bloodstain pattern evidence. He is also part of the leadership team for the Conte Center at UCI, funded by the National Institute of Mental Health, which is studying how early-life experiences, and especially early-life adversity, influence brain maturation and contribute to vulnerability to mental health problems throughout life. Stern is a fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Institute for Mathematical Statistics. He earned a B.S. in mathematics from the Massachusetts Institute of Technology and a M.S. and Ph.D. in statistics from Stanford University.

Teaching:
Statistics 210 - Statistical Methods I (last taught Fall 2019)
Statistics 265 - Causal Inference (last taught Spring 2018)

Research interests:
Bayesian methods, model diagnostics, forensic statistics, and statistical applications in biology/health, social sciences, and sports.

Bayesian Data Analysis: The third edition of Bayesian Data Analysis by A. Gelman, J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari and D. B. Rubin was published in 2014. This edition includes additional chapters on computation and Bayesian nonparametric modeling tools. It also includes illustrations of computation using STAN. For additional information about this book including how to purchase please visit the book web site.

CHANCE magazine: Chance is a magazine about statistics and the use of statistics in society. Chance features articles that showcase the use of statistical methods and ideas in the social, biological, physical, and medical sciences. I'm a former editor and a big fan! Please visit the web site for more information.

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