Dan Kowal, Ph.D. ‘17, associate professor of statistics in the Cornell Ann S. Bowers College of Computing and Information Science, has received an honorable mention for the Lindley Prize, which honors cutting-edge research in Bayesian statistics.
A researcher whose work spans Bayesian models, dependent data analysis, and prediction and imputation of mixed data types, Kowal was honored for his co-authored paper with Antonio Canale of the University of Padova, called “Semiparametric Functional Factor Models with Bayesian Rank Selection,” which Lindley Prize judges deemed “important, timely, and notably original.”
The Lindley Prize, established by the International Society for Bayesian Analysis, is named in honor of Dennis V. Lindley, a renowned Bayesian statistician, and is awarded every two years.
The honorable mention is the latest award for Kowal. His previous awards and honors include the inaugural Blackwell-Rosenbluth Award (2021), a Young Investigator Award from the Army Research Office (2020), and the Arnold Zellner Thesis Award (honorable mention) in Econometrics and Statistics (2018).
Kowal officially joined the Cornell Bowers CIS faculty on July 1. Previously, he was the Dobelman Family Assistant Professor in the Department of Statistics at Rice University.
By Louis DiPietro, a writer for the Cornell Ann S. Bowers College of Computing and Information Science.