Eric empirically studies the effects of education, labor, and housing policy on family and individual outcomes. He is interested in using experimental and quasi-experimental methods to provide causal evidence that is relevant for policy and practice. Further, he wishes to extend the machine learning research on categorical measurements of images and texts to further policy research. Eric received his MA, MPhil, and PhD from Teachers College, Columbia University and his BS from Babson College.
Ph D, Columbia University
MPhil, Columbia University
MA, Teachers College, Columbia University
BS, Babson College
Awards & Honors
2020 — Excellence in Refereeing Award, Journal of Policy Analysis and Management
2016 — Columbia Committee on the Economics of Education Prize for Best Research Paper, Columbia University