Hello World!

“Almost every problem that you come across is befuddled with all kinds of extraneous data … if you can bring this problem down into the main issues, you can see more clearly what you are trying to do and perhaps find a solution” — Claude Shannon

About. I’m a Robotics M.S. student and researcher in the GRASP Lab at the University of Pennsylvania, advised by Dr. George Pappas. I recieved my B.S. in Mechanical Engineering from UCLA, have spent time at Blue Origin and NASA JPL, and will begin a Ph.D. focused on robot learning in Fall 2026.

Why Robotics. I’ve always been fascinated by how living systems solve problems. Slime molds (a single-celled organism!), for instance, can solve shortest path problems to their favorite food using simple chemical signals; ants build sophisticated 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 these kinds of ideas. I love writing math and algorithms that actually lead to meaningful, intelligent decisions in the real world, and I want to build frameworks and full-stack systems that push robotics beyond controlled, flashy demos and toward tangible benefits for people and the environment.

Technical Interests. I strive to be a full-stack roboticist, and I am particularly interested in autonomy that combines learning and control, especially:

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