I am a Ph.D. student in EECS at UC Berkeley, advised by Alexandre Bayen. My research focuses on learning, control, and decision-making in societal-scale multi-agent systems. I aim to design rules and algorithms that incentivize desirable outcomes in such systems and enable agents to learn in the presence of strategic behavior, uncertainty, and limited resources. I seek to develop algorithms with guarantees on both performance and normative objectives such as fairness, privacy, and social welfare. My work draws inspiration from control theory, optimization, and game theory.

I was a Student Researcher at Google Research in the summer and Fall of 2024, hosted by Carolina Osario and Shoshana Vasserman. In the summer of 2025, I was an Applied Scientist intern at Amazon hosted by Fabien Chraim and Marina Thottan. Prior to joining Berkeley, I received my M.Sc. in Computational Science and Engineering at MIT (Advised by Devavrat Shah) and B.S. in Mechanical Engineering from Alfaisal University.