Peter Lenk is Professor of Technology and Operations and Marketing at the Stephen M. Ross School of Business at the University of Michigan. His primary area of research is Bayesian inference and its applications to business and economics. He has made numerous contributions to semiparametric models and marketing research. He has published in business and statistics journals. He received his PhD in 1984 at the University of Michigan under Bruce Hill, and his dissertation received the Savage Award in 1985. He was a faculty member of the Statistics and Operations Research Department at the Stern School of Business, New York University, from 1984 to 1989, at which time he joined the Ross School of Business at the University of Michigan.