HDP Seminar

Classes:

• 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–)

Expository notes:

• 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.