Teaching
Fall 2021: Inference and Representation, NYU (DS-GA 1005).
Spring 2020: Advanced Python for Data Science, NYU (DS-GA 3001).
Guest lectures
Dec 2023: Transformers and Associative Memories, MIT 9.520/6.7910 (Statistical Learning Theory).
April 2023: Generative Modeling, NYU DS-GA 3001 (Intro to Computer Vision).
March 2022: Convex Optimization for ML, NYU CS-GA 3033 (Mathematics of Deep Learning).
April 2021: Kernel Methods, NYU CS-GA 3033 (Mathematics of Deep Learning).