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