William Leeb is a postdoctoral research associate in the Program in Applied and Computational Mathematics at Princeton University. He received his Ph.D. in mathematics from Yale University in 2015, under the supervision of Ronald Coifman.
His research interests are primarily in metric approximation and computational harmonic analysis, with applications to problems in machine learning and statistical estimation. He is particularly interested in adapting tools from classical signal processing for use in analyzing data sampled from more general domains.