📖 Background
Previously, I received an MS in Robotics from Carnegie Mellon University, advised by Katia Sycara, where I studied emergent communication and decision-making in multi-agent teams.
I obtained my undergraduate degree from Rutgers University, New Brunswick in Computer Science and Mathematics, where I received the Hagerty Award (2019), given to the top student in the Department of Computer Science.
I studied learning hierarchical control primitives under the supervision of Kostas Bekris.
I previously spent time at Amazon studying multi-agent pathfinding (MAPF) and at Waymo developing multi-agent world models.
My work is supported by the NSF Graduate Research Fellowship (NSF GRFP, 2023), Princeton's Francis Robbins Upton Fellowship, a Google DeepMind research grant, and a Tinker Research Grant from Thinking Machines.
🎯 Opportunities
Princeton Undergraduates: I'm looking for motivated students interested in multi-agent systems, agent evaluations, generalized harnesses for embodied agents, or economic alignment and safety for senior thesis projects.