Aaron Schein

Aaron is a postdoctoral fellow at Columbia University's Data Science Institute. His research contributes to Bayesian statistics and causal inference, as well as to core areas of computational social science such as text, network, and time-series analysis. His recent research in collaboration with the labs of David Blei and Donald P. Green uses large-scale digital field experiments to assess the causal effect of friend-to-friend texting on voter turnout in US elections. He obtained his Ph.D. on scalable Bayesian methods for analyzing dynamic networks of international relations from the College of Information and Computer Sciences at UMass Amherst under the guidance of Hanna Wallach. He also earned an M.A. in Linguistics and a dual B.A. in Political Science and Linguistics from UMass Amherst. Prior to joining PredictWise, he has worked in the industry at Google, Microsoft Research, and the MITRE Corporation.