Jiaoyang Huang

Teaching

Semester Course Comments
Fall 2023 Probability Theory, Upenn Instructor
Spring 2023 Random Matrix Theory and Applications, Upenn Instructor
Fall 2022 Probability Theory, Upenn Instructor
Fall 2021 Calculus 2, NYU Instructor
Summer 2019 Summer School: RMT 2019 at LA, UCLA Lecturer
Fall 2017 Calculus Math 1b, Harvard Instructor
Fall 2016 Calculus Math 1b, Harvard Instructor
Fall 2015 Calculus Math 1b, Harvard Course Coach
Fall 2015 MATH 254: Topics in Random Matrices, Harvard Teaching Assistant
Fall 2013 Introduction to Topology, MIT Teaching Assistant
Spring 2012 Complex Variables and Applications, MIT Teaching Assistant

Lecture Notes

  • The course on Random Matrix Theory and Applications covers four topics on random matrix theory:
    1) Universality of eigenvalue distributions 2) Non-asymptotic analysis of random matrices 3) Signal detection in spiked random matrix models 4) Deep neural networks.
    • The preliminary version of the lecture notes can be found here. Comments are welcome.