Research Interests

William Leeb's research interests are in applied and computational harmonic analysis, statistical signal processing, and machine learning. Specifically, Leeb develops algorithms for processing data corrupted by perturbations, linear filters, and high additive noise.

Research Website

Education

• PhD: Mathematics, Yale University, 2015
• BS: Mathematics, University of Chicago, 2010

Recent News

Professor William Leeb receives NSF CAREER Award for data processing research