Joshua Blumenstock

Due to the COVID-19 coronavirus, DataEDGE 2020 has been cancelled. Full refunds will be issued to all registrants.

The conference is postponed indefinitely at this time. Please check back for further information, or sign up to be notified when the event is rescheduled.

Joshua Blumenstock
Assistant Professor
UC Berkeley School of Information

Joshua Blumenstock is an assistant professor at the UC Berkeley School of Information and the director of the Data-Intensive Development Lab. His research lies at the intersection of machine learning and development economics, and focuses on using novel data and methods to better understand the causes and consequences of global poverty. At Berkeley, Joshua teaches courses in machine learning and data-intensive development.

He has a Ph.D. in information and an 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 Millennium Grand Challenge award, and 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 ScienceNature, the American Economic Review, and the proceedings of KDD and AAAI.