Teaching
Assistant Professor (University of Notre Dame)
| Courses | Timeline |
|---|---|
| Introduction to Probability ACMS 30530 | Fall 2024 |
| Modern Machine Learning Methods (Topics Course) ACMS 80870 | Spring 2025 |
Lecturer (Princeton University)
| Courses | Timeline |
|---|---|
| Probability and Stochastic system ORF 309 | Spring 2023 |
| Statistical Machine Learning ORF 570 (Assistant Instructor with Prof. Jianqing Fan) | Fall 2023 |
Graduate Student (Yale University)
| Courses | Instructor | Timeline |
|---|---|---|
| Stochastic processes S&DS 351–551/EENG 434/ENAS 502 | Joseph Chang | Fall 2021 |
| Information Theory S&DS 364–664/EENG 454 | Andrew Barron | Fall 2020 |
| Probability Theory S&DS 241–541 | Winston Lin | Fall 2019 |
| Advanced Probability S&DS 400–600/Math 600 | Sekhar Tatikonda | Spring 2019 |
| Statistical Inference S&DS 410–610 | Zhou Fan | Fall 2018 |