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).