teaching

Supervised and unsupervised learning methods, optimization, generative modeling, evaluation.

Over four iterations of the course, we covered a wide list of supervised and unsupervised learning methods, optimization algorithms, reinforcement learning, and score-based generative modeling.

I was head TA for the course in fall 2024 and received an outstanding TA award for spring 2025.

An introduction to linear algebra and applications to electrical networks.