Joshua Blumenstock is an Associate Professor at the U.C. Berkeley School of Information and Goldman School of Public Policy, the Director of the Data-Intensive Development Lab, and the faculty co-Director of the Center for Effective Global Action. His research lies at the intersection of machine learning and empirical economics, and focuses on developing new computational approaches to better understand the causes and consequences of global poverty. Joshua has a Ph.D. in Information Science and a M.A. in Economics from U.C. Berkeley, and Bachelor’s degrees in Computer Science and Physics from Wesleyan University. He is a recipient of an NSF CAREER award, the Intel Faculty Early Career Honor, a Gates Millennium Grand Challenge award, a Google Faculty Research Award, and the U.C. Berkeley Chancellor's Award for Public Service. His work has appeared in a variety of publications including Science and Nature, as well as top economics journals (e.g., the American Economic Review) and computer science conferences (e.g., ICML, KDD, AAAI, WWW, CHI).