Overview

Jean Opsomer, PhD, is a senior statistician with 25+ years of experience applying statistical methods to answer research questions. He is currently responsible for the statistical methodology of several large-scale Westat survey projects. He is also Adjunct Professor in the Department of Mathematics at the University of Maryland, College Park. He has served on multiple panels of the National Academies of Sciences, Engineering, and Medicine and is a current member of the Statistics Canada Advisory Committee on Statistical Methods. He is Associate Editor for Survey Methodology and for Statistical Science. 

Previously, Opsomer was a faculty member in the Departments of Statistics at Colorado State University and Iowa State University. The author or coauthor of 85 peer-reviewed articles, he has developed statistical methods for calibration in surveys, model building, variable selection, and evaluation. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. He is the recipient of the Carver Medal of the Institute of Mathematical Statistics and the Founders Award of the American Statistical Association.

In recognition of his contributions to the field, Opsomer has been named a Westat Senior Statistical Fellow and co-chairs the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.

Education

• PhD, Operations Research , Cornell University
• MBA, Finance, University of Chicago
• MS, Management Engineering, Katholieke Universiteit Leuven, Belgium