I am a postdoctoral researcher in the Society and Algorithms Lab at Stanford MS&E. I obtained my PhD in EECS at UC Berkeley in Dec 2015. At Berkeley, I was affiliated with the BLISS and the NetEcon groups.
In my research, I develop data-driven mechanisms and algorithms for optimizing service operations in on-demand labor markets (Upwork, Uber, Lyft, MTurk etc.) and platforms that leverage collective intelligence (crowdsourced policy-making, prediction markets etc.), using tools and techniques from machine learning, statistical decision theory, dynamic programming, optimization, and game theory.
In general, I am interested in making methodological advances in decision-making under uncertainty and in engineering collective behavior in large-scale multi-agent systems. My PhD thesis gave a new set-valued dynamic programming approach for solving sequential multi-objective games.