Our summer school is motivated by the observation that there are several non-overlapping techniques used in random matrix theory. This summer school is for graduate students and beginning postdocs with some basic working knowledge of random matrix theory (e.g. they know what a GOE ensemble is and what the semi-circle law describes.) This school is not meant for someone totally new to the field. Our goal is to provide an opportunity for participants to learn new techniques different from their own background and to understand how/when/where these techniques can/have/should be applied. We hope that the summer school provides a venue where, for example, a participant already familiar with the orthogonal polynomial method for RMT can learn about how Stieltjes transform techniques are used, and so on.
12:30 - 1:30
Lunch (on your own)
(Princeton University, operations research)
Randomized sketching in mathematical data science
12:30 - 1:30
Lunch (on your own)
A key component of the summer school is participants working together in (assigned) groups to solve problems related to the morning and afternoon lectures.
Emma Bailey giving a lecture in 2022
Some 2022 participants went to Detroit during the weekend.