Teaching

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.