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.
Check out my
research snapshots.

For a non-technical example my research,
take a look at
these slides about my work on complex networks.
For a deeper dive, check out my
textbook
on high-dimensional probability. Not ready to read a 300+ book? Here is a
much shorter version of it, talking you
on a walk through some modern probabilistic methods and their application for data science.
This
survey
explains relationships between high-dimensional probability, high-dimensional geometry
and high-dimensional inference, and this
tutorial
connects these areas to random matrix theory.
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, visit 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.