About

I am a Ph.D. student in Mechanical and Aerospace Engineering at UC San Diego, advised by Prof. Sylvia Herbert in the Safe Autonomous Systems Lab.

I am interested in developing control and learning methods that combine mathematical rigor with broad applicability to robotic systems, drawing on optimal control and reinforcement learning. My research has focused on the connections between Hamilton–Jacobi reachability and control barrier functions, and on ensuring safety and stabilization for nonlinear systems under uncertainty.

Recently, I have become interested in generative models for safe and robust reinforcement learning, particularly policies based on diffusion models and flow matching.

In 2022, I received a B.Sc. in Mathematics and Physics from William & Mary, where I conducted undergraduate research in theoretical physics.

Outside research, I enjoy playing soccer, skiing, reading, and video games.