Teaching & Mentorship
Teaching & mentorship
Teaching
At MIT, I have taught multivariable calculus, stochastic calculus, and random matrix theory, and mentored undergraduate students through directed reading and research programs in probability and mathematical physics.
Teaching experience
Fall 2025
18.02: Multivariable Calculus
Recitation leader · Massachusetts Institute of Technology
Spring 2024
18.676: Stochastic Calculus
Teaching assistant/grader · Massachusetts Institute of Technology
Fall 2023
18.338: Random Matrix Theory
Teaching assistant/grader · Massachusetts Institute of Technology
Mentorship
January 2026
Directed Reading Program
Mentored Diego Caballero and Davit Kldiashvili in a reading course based on Berestycki and Powell’s Gaussian Free Field and Liouville Quantum Gravity.
Summer 2024
Summer Program in Undergraduate Research
Mentored Enrique Rivera on “\(\mathrm{U}(1)\) lattice gauge theory and random height functions.”
January 2024
Directed Reading Program
Mentored Brandon Wang, Enrique Rivera, and Matija Delic in a reading course based on Le Gall and Miermont’s notes Scaling Limits of Random Trees and Planar Maps.
Summer-Fall 2023
Undergraduate Research Opportunity
Mentored Omar Abdelghani on “Geometric Derivation of the Finite \(N\) Master Loop Equation.” The project led to a joint preprint.
January 2023
Directed Reading Program
Mentored Saba Lepsveridze in a reading course based on Ramon van Handel’s High Dimensional Probability.