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.
I develop mechanisms and algorithms for optimizing service operations in online platforms, using tools and techniques from machine learning, statistical decision theory, dynamic programming, optimization, and game theory. I am particularly interested in operational issues arising in online labor markets (Upwork, Uber, Lyft, MTurk etc.) and platforms that leverage collective intelligence (User-generated content, Prediction markets etc.).
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 was on set-valued approximate dynamic programming approaches to sequential multi-objective games.