teaching

As Instructor:

• Understanding Machine Learning (ESE 188), Spring 2025. This was a general audience 3-credit course, aimed at gaining an intuitive understanding of modern machine learning techniques. This was a super interested course to prepare and teach, and I’m happy to chat about this experience with anyone preparing a similar course!

Some classes I’ve served as the teaching assistant for at SBU:

• Random Signals and Systems (ESE 306), Spring 2022 & Summer 2022, Graduate Teaching Assistant [Recitation Notes]
• Programming Fundamentals (ESE 124), Fall 2021, Graduate Teaching Assistant
• Classical Physics I (PHY 131), Fall 2020, Undergraduate Teaching Assistant

I’ve also had the pleasure of mentoring several students in the Directed Reading Programs of CUNY and SBU. I’ve mentored the following projects there:

• Gaussian Processes and Bayesian Optimization
• Dynamic Programming and Reinforcement Learning
• Probabilistic Machine Learning
• Fourier Analysis & Its Applications
• Elements of Statistical Learning

Additionally, in Spring 2022, I served as a volunteer TA for an online version Bayesian Data Analysis targeted towards those from the Global South and other under-represented groups.