Karan Srivastava (Mathematics), advised by Jordan Ellenberg (Mathematics) is interested in applying machine learning techniques to generate interpretable, generalizable data for gaining a deeper understanding of problems in pure mathematics. Currently, he is working on generating examples in additive combinatorics and convex geometry using deep reinforcement learning.
