| 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 have advised the following students with independent and graduate work. Feel free to get in touch if you would be interested in working with me.
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]