Research

Robust autonomy, controls, and robot learning.

My research interests sit at the intersection of control, reinforcement learning, and autonomous vehicle robustness.

Lab and research experience

USC AutoDrive Lab

Current research direction focuses on methods for developing more adversarially robust reinforcement learning policies, with emphasis on physics-informed reinforcement learning, control authority, and high-speed autonomous vehicle stability.

Content TODOs for review

  • Confirm whether any research outputs should be described as submitted, accepted, preprint, or internal-only before adding publication-style entries.