Aaron Schein is a postdoctoral fellow at Columbia University's Data Science Institute and a principal research scientist at PredictWise. His research contributes to core areas of computational social science, including digital field experiments on get-out-the-vote nudges and large-scale models of international event data, as well as to Bayesian statistical methodology for high-dimensional discrete data, tensors, and time-series. He received his PhD in computer science from UMass Amherst.