I am a 2nd year PhD student in the Yale Theory Group advised by Manolis Zampetakis. My research focuses on the intersection of algorithmic game theory and learning theory. As a researcher, I am deeply motivated to address the challenges of designing transparent, fair, and assumption-lean algorithmic systems. In particular, my overarching research goals are to:

• Develop theoretical models of economic and social exchanges that are realistic, easily interpretable, and require minimal assumptions,
• Design algorithms with robust guarantees for equitable outcomes,
• Prioritize algorithms that offer efficiently checkable certificates to validate their results.

During my undergrad at USC, I was fortunate to work with Prof. David Kempe on algorithms for fair committee elections and with Prof. Assad Oberai on using machine learning to predict COVID-19 disease severity. In 2022, I participated in the DIMACS REU, where I worked with Dr. Ariel Schvartzman on topics in auction theory.