Classes:
- Ongoing: HDP Seminar
- Feb-Mar 2026: Graduate minicourse on topics in probability: Superconcentration phenomenon.
- Spring 2026: Math 545, Stochastic calculus. hw1.
- Fall 2025: Math 690-40, Introduction to Random Matrix Theory
- Fall 2024: Math 631, Measure and integration
- Spring 2024: Math 690-40, High-dimensional Probability
- Fall 2023: Math 790-90, Schrödinger operators on large graphs -- localization and quantum ergodicity
- 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
Students:
- Haotian Gu (2021–25)
- Víctor Amaya Carvajal (2024–25, co-advised with Sayan Mukherjee and Jonathan Mattingly)
- Jack McErlean (2024–) (co-advised by Hau-Tieng Wu)
- Sofia Poinelli (2024–)