Haim Bar, PhD

Assistant Professor, Statistics (Affiliate)

Research Overview

My research interests include statistical modeling for high-throughput data, variable selection, and missing-data problems. I am also interested in statistical methods in machine learning.
I developed statistical models for analyzing high-throughput data, focusing mostly on genomics. I also developed a variable selection method for situations in which the number of possible model is very large. I am also working on machine learning methods to determine idetifiability in statistical models.
I have collaborated with researchers from diverse fields, both as a coauthor, and as a statistical consultant.


I got my B.Sc. in mathematics from the Hebrew University, my M.Sc. in computer science from Yale, and my PH.D. in statistics from Cornell.

Recent Publications

Contact Information
Mailing AddressDepartment of Statistics
215 Glenbrook Road, Unit 4120
Storrs, CT 06269-4120