I am Professor of Mathematics at the University of Michigan and an expert in theoretical and applied high-dimensional probability. I study probabilistic structures that appear across mathematics and data sciences, in particular random matrix theory, geometric functional analysis, convex and discrete geometry, high-dimensional statistics, information theory, learning theory, signal processing, numerical analysis, and network science. Learn more
My primary appointment is in the Department of Mathematics of the University of Michigan. I am also affiliated with Michigan Institute for Data Science and the Program for Applied and Interdisciplinary Mathematics.
I am writing a textbook in High-Dimensional Probability. Feedback is welcome!