I am an associate professor of statistical science and computer science at Duke University. I work on causal inference and experimental design in complex systems. I want to understand how text can be a treatment and an outcome, how effects spill over networks and how AI systems interact with humans and each other.
I am the Co-Director of two labs at Duke: (1) The Polarization Lab at Duke brings together scholars from the social sciences, statistics, and computer science to develop new technology to bridge America's partisan divide. (2) The Almost Matching Exactly Lab at Duke brings together statisticians, computer scientists, economists, and political scientists to develop tools for interpretable causal inference.
I am the Director of the Causality Research Initiative at Duke (details on activities to follow!)
I serve on the Board of Trustees of the National Institute of Statistical Sciences (NISS). I am the past president of the New Researchers Group at the Institute of Mathematical Statistics which coordinates the Meeting of New Researchers in Statistics and Probability (supported by the National Science Foundation).
Our work is graciously supported by NIH, NSF, ARI, Facebook, Google, the Templeton Foundation and Duke University.