His research focuses on computational and statistical learning, but he is more broadly interested in topics ranging from practical issues in machine learning to the theoretical foundations of computer science. Previously, Lev was a Simons Postdoctoral Fellow at Georgia Tech, and before that, an NSF CI-Fellow at Yahoo! Research, where he tackled problems in computational advertising. Lev received his Ph.D. from Yale under Dana Angluin and his undergraduate degree from Princeton. His work has earned awards at ICML, COLT, and AISTATS, as well as several national fellowships.