Teaching

Fall 2025 Random Matrix Theory in Data Science and Statistics (Johns Hopkins)
Instructor
Spring 2025 Probability Theory II (Johns Hopkins)
Instructor
Fall 2024 Random Matrix Theory in Data Science and Statistics (Johns Hopkins)
Instructor
Spring 2023 Modern Probability for Theoretical Computer Science (Yale)
Instructor
Spring 2022 Sum-of-Squares Optimization (Yale)
Instructor
Fall 2020 Mathematical Statistics (NYU)
Section Leader and Grader (with Prof. Jonathan Niles-Weed)
Summer 2020 Discrete Mathematics (NYU)
Section Leader and Grader (with Prof. Vindya Bhat)
Fall 2018 Probabilistic Time Series Analysis (NYU)
Section Leader and Grader (with Prof. Cristina Savin)

Advising and Research Group

I am currently a research advisor for the following students at Johns Hopkins:

Debsurya De (AMS PhD)
Yuxin Ma (AMS PhD; co-advised with Soledad Villar)
Xiangyi Zhu (AMS PhD)
Shujing Chen (AMS MSE)

The following are students previously in my group or whom I have otherwise previously advised on their research:

David Opalic̆ (2023, ETH Zurich Master's degree, co-advised with Afonso Bandeira)
Thesis: Local landscape of the Sherrington-Kirkpatrick Hamiltonian.
[PDF]

Nikolaus Doppelbauer (2021, ETH Zurich Master's degree, co-advised with Afonso Bandeira)
Thesis: Packing problems in groups, including mutually unbiased bases: symmetries and dual witnesses.
[Journal Article] [Supplementary Materials]