William Leeb is an Assistant Professor in the School of Mathematics at the University of Minnesota, Twin Cities. His research interests are in applied and computational harmonic analysis, statistical signal processing, high-dimensional PCA, and machine learning. He is particularly interested in applications to image processing problems arising from cryoelectron microscopy.
From 2015 to 2018, he was a postdoc in Amit Singer's research group in the Program in Applied and Computational Mathematics, Princeton University, where he was supported by the Simons Collaboration on Algorithms and Geometry. In 2015, he completed his Ph.D in Mathematics at Yale University, working under the supervision of Ronald Coifman. In 2010 he earned a B.S. in Mathematics from the University of Chicago.