Teaching

Instructor at the Renmin University of China

• Causal Inference (Fall 2024), previously titled Special Topics in Business and Economic Statistics (Fall 2023) and Special Topics in Biostatistics (Spring 2023)

Causal Inference (PhD level), including randomized controlled trials, IPW, AIPW, balancing estimators, heterogeneous treatment effects, regression discontinuity designs, instrumental variables, policy learning, panel data, dynamic treatment regimes, reinforcement learning, etc.

• Special Topics in Mathematical Statistics (Spring 2023 and 2024)

High-dimensional statistics (PhD level), including concentration inequality, Lasso, debiased Lasso, uniform laws of large numbers, Rademacher complexity, metric entropy, statistical theory for random forests and/or neural networks, etc.

• Advanced Statistical Computing (Fall 2022)

Convex optimization (PhD level), including gradient methods, subgradients, coordinate descent, Lagrange multiplier, EM and MM algorithms, proximal algorithms, ADMM, etc.

Teaching Assistant at UC San Diego

• Math 281A, 281B - Mathematical Statistics (PhD level)
• Math 189 - Data Analysis and Inference (undergrad level)
• Math 183 - Statistical Methods (undergrad level)
• Math 180A - Introduction to Probability (undergrad level)
• Math 11 - Calculus-Based Prob & Stats (undergrad level)

I received the 2019-2020 Teaching Assistant Award from the Department of Mathematics, UC San Diego.