University of Texas at Austin
Probability and Statistical Inference
Fall 2025
I served as a teaching assistant for Professor Jay Bartroff in an undergraduate course for statistics majors. Topics included discrete and continuous probability and the central limit theorem.
University of Chicago
Stochastic Processes
Fall 2024
I was extremely lucky to serve as a teaching assistant for Professor Gregory Lawler, one of the greatest probabilists of the twenty-first century. The course covered the theory of Markov chains, martingales, and Lévy processes.
HSE University
Introduction to Deep Learning
Fall 2021
I worked with Professor Evgeny Sokolov. Topics included multilayer perceptrons, convolutional neural networks, LSTMs, and transformers.