Classes:
- Spring 2024: Math 690-40 (Topics in Probability) High-dimensional Probability.
- Fall 2023: Math 790-90 (Graduate minicourse) Localization and quantum ergodicity for Schrödinger operators on large graphs. Course description.
- Fall 2023: Math 340 / Stats 231, Advanced Introduction to Probability
- Spring 2023: Math 641, Graduate probability. Course syllabus.
- Fall 2022: Math 790-90 (Graduate minicourse) Topics in random matrix theory
- Fall 2022: Math 340 / Stats 231, Advanced Introduction to Probability
- Spring 2021: Math 641, Graduate probability
- Fall 2020: Math 340 / Stats 231, Advanced Introduction to Probability
- Spring 2020: (Stanford) Stats 60, Introduction to Statistical Methods: Precalculus
- Winter 2020: (Stanford) Stats 217, Introduction to Stochastic Processes I. Syllabus
- Spring 2019: (Stanford) Math 158 / CME 298, Basic Probability and Stochastic Processes with Engineering Applications
- Winter 2018: (UCLA) Math 33AH, Honors Linear Algebra and Applications
- Winter 2015: (UCLA) Math 32BH, Honors Calculus of Several Variables
Expository notes:
- In June 2022 I gave some lectures on Geometric Methods in Random Matrix Theory at the 3rd Random Matrix Theory Summer School at the University of Michigan. Lecture notes coming soon!
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Topics in the geometric theory of random matrices
Three guest lectures for Amir Dembo's course on random matrices and large deviations, Stanford, Spring 2017.