Department of Statistics and the College
Aaron Schein is an applied statistician and machine learning researcher who develops methods for incorporating large-scale modern data into the social and natural sciences, including political science, economics, and genetics.
His research has been published in the proceedings of the Annual Conference on Neural Information Processing Systems and the International Conference on Machine Learning, and in Annals of Applied Statistics, among other venues for machine learning, statistics, and interdisciplinary research.
Schein received a BA in political science and linguistics, an MA in linguistics, and an MS and PhD in computer science from the University of Massachusetts Amherst. He has worked in industry at Google and Microsoft Research, and at the intersection of foreign policy, industry, and research at the MITRE Corporation. Most recently, Schein was a postdoctoral fellow at the Data Science Institute at Columbia University.