Zach is a third-year PhD student working with Dr. Chris Riedl as part of the CSS Lab. Zach is primarily interested in dynamic networks, search behavior, and organizational theory. His research utilizes simulation modeling and experiments to better understand how groups of people process information to adapt, learn, and innovate. Currently, he is undertaking research on the role of incentives and group structure in parallel problem solving, and the outcome of games on dynamic networks. Zach received his B.S. from the University of Pittsburgh majoring in Mathematics and Economics and minoring in Computer Science and Statistics.