I am Professor of Mathematics at the University of Michigan working in high-dimensional probability and data science. I study probabilistic structures that appear across mathematics and various branches of data science, especially in random matrix theory, geometric functional analysis, convex and discrete geometry, high-dimensional statistics, information theory, learning theory, signal processing, numerical analysis, network science, and computational biology. Here you will find my research snapshots . And here you can learn more about my research and activities.
While my primary appointment is in the Department of Mathematics, I am also affiliated with Michigan Institute for Data Science, the Program for Applied and Interdisciplinary Mathematics and the new Michigan Center for Single-Cell Genomic Data Analytics.
I am working on a textbook in high-dimensional probability with applications in data science. Your feedback is welcome!
I have written up four lectures on probabilistic methods for data science, which I gave at the 2016 PCMI Summer School. The lectures will be published by AMS.