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:
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.
PhD in Computer Science, 2028 (Expected)
Yale University
BS in Computer Science, Summa Cum Laude, 2022
University of Southern California
BA in Applied and Computational Mathematics, Summa Cum Laude, 2022
University of Southern California