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