I am a Computer Science Ph.D. student at UC Berkeley, working with Professors Pieter Abbeel and Anca Dragan. I did my undergrad at Stanford, majoring in CS (Artificial Intelligence track).

My research focuses on building a deeper understanding of what a robot or agent has learned. For instance, engineers should have an idea of which situations their robot may act incorrectly in, and end-users should be able to anticipate how a robot they are interacting with will behave in various situations. This is essential for building trust, enabling seamless human-robot collaboration, verifying what a robot has learned, and deploying robots in safety-critical situations.

I previously worked on teaching robots challenging manipulation tasks (knot tying and towel folding) through learning from demonstrations. While at Stanford, I applied machine learning to problems in clinical decision making and information flow tracking.

Outside of academics, I am involved in STEM outreach and mentoring. I like running, yoga, meditation, baking, and board game nights.