Joshua Blumenstock is a Chancellor’s Associate Professor at the UC Berkeley School of Information and the Goldman School of Public Policy. He is the codirector of the Global Policy Lab and the Center for Effective Global Action. Blumenstock does research at the intersection of machine learning and empirical economics, and focuses on using novel data and methods to understand the causes and consequences of global poverty, and to improve the lives of disadvantaged people around the world. He has a PhD in information science and a MA in economics from UC Berkeley, and bachelor’s degrees in computer science and physics from Wesleyan University. He is a recipient of awards including the NSF CAREER award, the Intel Faculty Early Career Honor, and the UC Berkeley Chancellor's Award for Public Service. His work has appeared in general interest journals including Science, Nature, and Proceedings of the National Academy of Sciences, as well as top economics journals (e.g., the American Economic Review) and computer science conferences (e.g., ICML, KDD, AAAI, WWW, CHI).