Eli is an assistant professor in Heinz College and the Department of Statistics & Data Science at Carnegie Mellon University. Previously, he was a postdoctoral fellow in the Institute for Quantitative Social Science and the Department of Statistics at Harvard University. Eli received his PhD in Statistics from U.C. Berkeley and spent his undergraduate years at Columbia University where he received a bachelors degree in computer science and statistics.

Eli's research focuses on developing statistical and computational methods to solve practical issues in public policy and social science research. He is particularly interested in bringing together ideas from statistics, optimization, and machine learning to create methods for credible and robust causal inference and data-driven decision making.