Hello World!

“Feedback is a method of controlling a system by reinserting into it the results of its past performance… if [this] is able to change the general method and pattern of performance, we have a process which may well be called learning.” — Norbert Weiner

Hi, I’m a Robotics M.S. student and researcher in the GRASP Lab at the University of Pennsylvania, advised by Dr. George Pappas. I’ve received my B.S. in Mechanical Engineering from UCLA, have spent time at Blue Origin and NASA JPL, and will be beginning a Ph.D. in Fall 2026.

I’ve always been fascinated by how living systems solve problems. Slime molds, for instance, can solve shortest path problems to their favorite food using simple chemical signals; ants build complex societies from very limited individual capabilities; and plants, despite lacking a nervous system entirely, still adapt beautifully and arguably more effectively than anything else on Earth.

Robotics, to me, feels like humanity’s way of exploring those same ideas. I love writing math and algorithms that actually make things move in the real world, and my career goal is to create frameworks and full-stack systems that push robotics beyond controlled demos and toward tangible benefits for people and the environment.

I want to be a full-stack roboticist, particularly interested in autonomy that combines learning and control.

  • Real-world reinforcement learning
  • Dexterous manipulation
  • World models and representations
  • Multi-agent autonomy
  • Robustness & generalization on unstructured tasks