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I am a PhD candidate in Computer Science at the University of Michigan, advised by Michael Wellman. I hold a bachelor's degree in Physics and Economics from University of Chicago and a master's degree in statistics from University of Michigan. My most recent industry experiences have been at Google New York (differential privacy research) and MITRE (speaker clustering using HMMs). Recently I have been studying how strategic interactions in financial networks should inform banking regulatory reform. More broadly I am interested in using computational tools from applied game theory, graph mining, and machine learning to find insights in economic systems.