I will soon join Google Deepmind as a research scientist. Until recently, I was a reseracher in the optimization and control group at PNNL.

My research interests are in developing efficient algorithms for automated decision making in complex physical, cyber-physical and social systems. In this effort, I draw on tools from a variety of disciplines including stochastic control theory, convex and nonlinear optimization, game theory, economics and machine learning. In recent years, I have focussed on challenging problems arising in large scale infrastructure systems.

Here is a recent CV .

Click on the topics below to see highlights from my recent research (click to expand). A comprehensive list of papers is available here .
Robustness of infrastructure networks
Graphical models for infrastructure network analysis
Incentive driven dynamics in markets