I am a PhD student in computer science at Princeton University, where I work on theoretical machine learning with Sanjeev Arora. I graduated from MIT in 2019 with a degree in mathematics and philosophy. I worked at OpenAI in 2018 and 2019 on model-based reinforcement learning and language modeling.
I am very passionate about teaching! I was a (virtual) TA for COS 324 (Introduction to ML) in Fall 2020 at Princeton, for which I received a Graduate School Teaching Award. I was also a (virtual) TA for the New Horizons in Theoretical Computer Science summer school, which exposes undergraduate students (especially those from underrepresented groups) to prominent research areas in TCS.