Joshua Blumenstock

Assistant Professor


Development Economics, Data Science, Econometrics, Machine Learning, ICTD


Joshua Blumenstock is an Assistant Professor at the U.C. Berkeley School of Information, and the Director of the Data-Intensive Development Lab. His research focuses on developing new methods for using massive, spatiotemporal network data to better understand poverty and economic development.  At Berkeley, Joshua teaches courses in machine learning and data-intensive development. Previously, Joshua was on the faculty at the University of Washington, where he founded and co-directed the Data Science and Analytics Lab, and led the school’s Data for Social Good initiative. He 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 the Intel Faculty Early Career Honor, a Gates Millennium Grand Challenge award, a Google Faculty Research Award, and a former fellow of the Thomas J. Watson Foundation and the Harvard Institutes of Medicine.

Last updated:

March 26, 2017