Alexander Volfovsky is an associate professor of Statistical Science and Computer Science at Duke University. His research focuses on fundamental properties of statistical concepts, with broad interests in network analysis, causal inference, and the computational constraints of statistical methods.

Volfovsky co-directs two labs at Duke: the Polarization Lab, which brings together scholars from the social sciences, statistics, and computer science to develop new technologies aimed at bridging America’s partisan divide, and the Almost Matching Exactly Lab, which unites statisticians, computer scientists, economists, and political scientists to develop tools for interpretable causal inference.

He is the past president of the New Researchers Group at the Institute of Mathematical Statistics, which coordinates the NSF-supported Meeting of New Researchers in Statistics and Probability. His work is supported by NIH, NSF, ARI, Facebook, Google, the Templeton Foundation, and Duke University.