I study how technology helps people cooperate and make decisions. My current research applies network science and complex systems theory to community governance, computer-supported cooperative work, computational sociology, and information security. I'm a PhD student at the University of Michigan School of Information. Daniel Romero is my advisor. I've arrived at network science by way of physics and computer science (S.B. MIT, 2006) and applied math (M.Math Waterloo, 2009). In the past, I've done research on civic media, and quantum computing.
Some of my specific interests include: consensus, vertex-transitive networks, affiliation networks, community-detection, fault tolerance, and spectral graph theory.