My primary area of expertise is high dimensional probability. I am interested in fundamental,
theoretical problems as well as applications of probability to data science.

For a non-technical introduction,
take a look at
these slides about my work on complex networks.
For a deeper dive, check out my
textbook
on high-dimensional probability.
Or skim through my
survey
on relationships between high-dimensional probability, high-dimensional geometry
and high-dimensional inference.
Have a look at this tutorial
on non-asymptotic theory of random matrices.
If you are ready to explore acrtual research papers, take a peek at my
publications.

If you are thinking of becoming my student or postdoc, take a look at the work of my past and present
mentees.

If you are already in Ann Arbor, Michigan, drop by one of Analysis & Probability seminars.
I am co-organizing the
traditional seminar
with one-hour talks, often given by visitors, and the
learning seminar
with two-hour educational lectures.
Here you will find a list of all seminars
in the Mathematics Department.