Teaching

Courses

Currently, I am one of the instructors for PGEE11175 - Machine Learning in Signal Processing at the University of Edinburgh, alongside Steven McDonagh.

At Stony Brook University, I was the Fall 2024 instructor for ESE 188 - Understanding Machine Learning. I was also a teaching assistant for a few courses:

ESE 342 - Communication Systems
ESE 345 - Computer Architecture

Engineering Teaching Laboratories

Directed Reading Programs

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)

$A fractal generated from the Abelan sandpile model.$

A very cool fractal that appears in the Abelian sandpile model.

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