I am an assistant professor in the Department of Statistics & Data Science and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Previously, I was a postdoctoral fellow in the Institute for Quantitative Social Science and the Department of Statistics at Harvard University. I received my PhD in Statistics from U.C. Berkeley and I spent my undergraduate years at Columbia University where I received a bachelors degree in computer science and statistics.
My research focuses on developing statistical and computational methods to solve practical issues in public policy and social science research. I am 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.
Office: 2118D Hamburg Hall