I’m a Postdoctoral Associate in the Algorithmic Alignment Group working with Dylan Hadfield-Menell at Computer Science and Artificial Intelligence Laboratory, MIT. I study artificial intelligence, with a specific focus on multi-agent systems, AI alignment and cooperative AI.

I’m interested in developing robust and generalizable AI systems that feature advanced capabilities beneficial to humans, align with human principles, and integrate safely into our daily lives. My research is grounded in the fundamental reality of our world: it is inherently a multi-agent ecosystem where success relies on the ability to navigate and contribute to complex interactions and networks of relationships. This perspective drives my ambition to enable AI systems with collective intelligence—the ultimate capability that underpins human societies’ ability to cooperate and coordinate effectively in addressing the challenges of shared existence.

I develop methods blending innovations in AI for multi-agent systems (e.g. reinforcement learning, generative agents, graph machine learning) and interdisciplinary topics spanning social science, anthropology, game theory and economics among others. I use these methods to understand social and economic factors driving human behaviors and interactions with an aim to build AI systems that engender cooperation between humans, AI and institutions.

I am incredibly fortunate to collaborate closely with David Parkes at Harvard University, Gillian Hadfield at Johns Hopkins University and Joel Leibo and other members of the the multi-agent team at Google Deepmind on these topics. Previously, I completed my PhD at Georgia Institute of Technology, where I was advised by Hongyuan Zha.