I'm a third year graduate student in the EECS Department at UC Berkeley. My advisor is Prof. Anant Sahai. The overall theme of my research is game theory, mechanism design and learning for automated agents, particularly in the context of wireless spectrum. I am particularly interested in incentivizing uncoordinated and separately designed agents to share resources efficiently, perhaps through implicit or explicit collaboration. This objective leads to interesting problems at the intersection of cooperative game theory and learning. I have modeled paradigms for fair sharing of spectrum among uncoordinated users as a regulatory spectrum game. Recently, I have explored advantages of leader-follower games over simultaneous games in this context. In previous years, I analyzed the potential effect of the FCC's ongoing incentive auction on TV as well as TV whitespaces.
More broadly, I'm interested in solving challenging problems in game theory, machine learning, statistics and algorithms. In my spare time, I enjoy singing, playing the piano, long distance cycling and skiing.