I am a Senior MLE on the AI Foundations team at Waymo. Until recently, I was a postdoctoral researcher in the Autonomous Systems Lab at Stanford University, working with Prof. Marco Pavone. I completed my Ph.D. at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan.

I am on the faculty job market this cycle (2026–27), with a focus on physical AI. If you think I would be a good fit for your department, please reach out!

My research asks how physical AI can scale. Embodied systems have not scaled the way language models have, and the bottleneck is increasingly supervision, not model capacity: there is no internet of physical interaction to learn from. Yet every deployed system is already immersed in supervision — the world persists across many viewpoints, carries human-made structure, and responds to action. I study how robots can learn from the world they are deployed in, beyond what human labels alone can provide, across perception, reasoning, and action. Most of this work is validated in autonomous driving, and my recent work in manipulation shows the ideas carry over.

I have been fortunate to be supported by a Cornell University Fellowship, an NVIDIA Graduate Fellowship, and an AAUW American Dissertation Fellowship. Before Cornell, I worked across applied machine learning, deep reinforcement learning, and natural language processing.