Teaching

TA for STAT 5264: Stochastic Processes with Applications (Section 002)

TAing, Columbia University, Department of Statistics, 2025

I’m currently a TA for STAT 5264: Stochastic Processes with Applications (Section 002), taught by Prof Graeme Baker. This is a graduate-level course that covers the theory and applications of stochastic processes, including Markov chains, Poisson processes, Brownian motion, and stochastic calculus. We are using the book Stochastic Calculus for Finance II: Continuous-Time Models by Steven Shreve as the main textbook, which can be accessed here. I am holding office hours on Tuesdays from 3-4PM and Wednesdays from 9-10AM at Uris Hall 321/322.

Guest lectures

Lecturing, Brown University, 2025

I gave four guest lectures for APMA1650: Statistical Inference I at Brown University.

UTA for MATH50003 Numerical Analysis

Undergraduate Teaching Assistant, Imperial College London, Department of Mathematics, 2023

I was an Undergraduate Teaching Assistant (UTA) for MATH50003 Numerical Analysis at Imperial College London, a 2nd year undergraduate course led by Prof Sheehan Olver. I attended the weekly problems classes and helped students with problems, especially with the Julia programming exercises. I also marked the mock exam for said course. More information can be found on the course’s GitHub page.

Peer Tutoring

Peer Tutoring, Imperial College London, Department of Mathematics, 2022

I was a peer tutor for the first year mathematics course at Imperial College London. I was responsible for leading weekly tutorials for a group of 5-6 students, helping them develop their problem solving skills and understanding of the course material. I also prepared challenging problems for the students to work on in their own time.