Zachary is a Postdoctoral Fellow at the Massachusetts Institute of Technology, affiliated with the Laboratory for Information and Decision Systems. His research sits at the intersection of economics, psychology, and computer science, combining behavioral theory with computational methods to study how people learn, reason, and make decisions in complex information environments. He has published research in venues including the Journal of Economic Literature, Cognitive Science, Trends in Cognitive Sciences, and leading artificial intelligence conferences such as NeurIPS, AAAI, and FAccT. He earned a PhD in Behavioral Economics and an MS in Machine Learning from Carnegie Mellon University, where he was supported by a Presidential Fellowship.