Teaching
-
STA 238: Probability, Statistics and Data Analysis II (Winter, 2026)
Role: Course Co-Instructor. All information may be found on Quercus and some materials in my Github repository. -
STA2201: Methods of Applied Statistics II (Winter, 2026)
Role: TA. Instructor: Elena Tuzhilina. Graduate level course in methods for high dimensional learning. -
STA 314: Statistical Methods for Machine Learning I (Fall, 2025)
Role: TA. Instructor: Chris Maddison. -
STA 437: Methods for Multivariate Data (Winter, 2025)
Role: TA. Instructor: Piotr Zwiernik. -
STA 314: Statistical Methods for Machine Learning I (Fall, 2024)
Role: TA. Instructor: Xin Bing.
DRP Students
Here are the research projects I supervise as part of the Statistics Directed Reading Program at UofT.
2026
Free Probability to understand Random Matrices
Researching free probability as a tool for the spectral distribution of large random matrices with potential applications in statistical inference.
Analysis of Algorithms in Statistics
Practical implementations of QR algorithm, SVD, and randomized versions for large matrices.