His research develops theory and methods for the analysis of large-scale behavioral data, with a focus on how such data can be used to better understand poverty and economic development. Recent projects combine field experiments with big spatiotemporal network data to model decision-making in poor and conflict-affected regions of the world. Prior to joining Berkeley, Joshua was on the faculty at the University of Washington, where he founded and co-directed the Data Science and Analytics Lab. He has a Ph.D. in Information Science and a M.A. in Economics from UC Berkeley, and Bachelor’s degrees in Computer Science and Physics from Wesleyan University. He is a recipient of the Intel Faculty Early Career Honor, a Gates Millenium Grand Challenge award, a Google Faculty Research Award, and a former fellow of the Thomas J. Watson Foundation and the Harvard Institutes of Medicine.