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.
