I was the Fall 2024 instructor for ESE 188 - Understanding Machine Learning at Stony Brook University.
Previously, I've been a teaching assistant for a few programs:
ESE 342 - Communication Systems
ESE 345 - Computer Architecture
I was previously an organizer and mentor at the City University of New York Directed Reading Program, which aims to pair undergraduates with grad student mentors to help them learn interesting mathematics that fall outside of the standard math curriculum.
I also mentored for the Math Directed Reading Program at Stony Brook University.
Projects that my mentees have presented:
An Introduction to Brownian Motion and Stochastic Differential Equations, with Colin (CUNY, 2024)
Stochastic Differential Equations, with Ishraq (CUNY, 2024)
Monte Carlo Methods, with Sanjay (CUNY, 2023)
Entropy, Information Theory, and Wordle, with Aracely (CUNY, 2023)
Machine learning, with Calvin (SBU, 2022)
A Probabilistic Introduction to Machine Learning, with John (CUNY, 2022)
Data Communication Channels and Noise, with Khason (CUNY, 2022)
Mathematical neuroscience and dynamics, with Benjamin (SBU, 2021)