I am a fourth-year Ph.D. candidate and Interdisciplinary Graduate Fellow at Stanford University, advised by Mac Schwager. I am a research intern at NVIDIA Research. I am also affiliated with the Stanford Center for AI Safety. I have spent time at Meta Superintelligence Lab and Microsoft Research.
Research Interests:
- Generative AI and LLM: Efficient reasoning [ACM'25, NeurIPS'25] and thinking [SynapseRoute'25], LLM architecture design, including attention mechanisms [NeurIPS'25, ACL'25a] and mixture-of-experts (MoE) models [ICLR'26], reinforcement learning for LLMs [ACL'25b], applications to automated theorem proving [TMLR'24] and safe AI agents [ArXiv'25a].
- Embodied AI and Robotics: Develop, understand, and interact with multimodal world models to enable reasoning, perception, planning, and control [CoRL'25a, RAL'25, IROS'25, IJRR'24, ICRA'22, ICRA'21]. Explore neural representations for robot perception [CoRL'25b, FastSplat'24, RAL'24]. Leverage reinforcement and imitation learning to enhance long-horizon planning [CoRL'25c, CoRL'23]. Applications span robotic manipulation [CoRL'25c, CoRL'23, ICRA'21], autonomous driving [ITSC'23, ITSC'22, CoRL'20a, CoRL'20b, ICRA'20, ICCV'19], and general-purpose everyday tasks [CoRL'22, RAL'20].
