Michael's broad research interests lie in the overlap between complex systems and the social sciences. In particular, he is interested in how rational local decisions and interactions can produce unintended and emergent system behavior. Michael has a B.S. and M.S. in Mathematics from the University of Vermont, where he did research in computational finance and agent based modeling. Currently, he is working with Chris Riedl to research the effect of different communication networks on a group's ability to solve problems.