I am Professor of Mathematics at the University of Michigan
working in high-dimensional probability and mathematical 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
learn more
about my research and activities.

Up and running:
Happy to announce a new journal:
Mathematical Statistics and Learning.
It will publish papers of highest quality in all aspects of mathematical statistics and learning,
including those studied in traditional areas of statistics and in machine learning as well
as in theoretical computer science and signal processing.
Please send us excellent papers and enjoy reading!