I am a 3rd year PhD Candidate in Applied Math and Computational Science at the University of Pennsylvania. I am fortunate to be advised by Michael Kearns. Before Penn, I worked at TGG Group, a consulting firm applying econometrics and behavioral science; before that, I studied Mathematics and Economics at Columbia University.
My main research interests are in algorithmic learning theory, as well as the implications of learning for societal concerns like fairness and privacy, and to markets and strategic interactions. I am also interested in the interaction of computer science and economics more broadly, especially in the areas of algorithmic game theory and mechanism design. I am particularly interested in exploring these questions in dynamic contexts and in relation to reinforcement learning.
Fencing, Muay Thai, Mountaineering