David Puelz

Director of Policy Analytics
Research Initiatives Policy Research Lab Projects
Bio & Writings CV/Resume

David Puelz is the Director of Policy Analytics for the Salem Center and a Clinical Assistant Professor in the McCombs School of Business. His research develops computational methods for applied data analysis, especially in social and behavioral sciences. Recent work focuses on experimentation, causal inference, and data generated from networks. Previously, he was a postdoctoral researcher at the University of Chicago Booth School of Business. He received his PhD from the McCombs School of Business in 2018.


PhD in Statistics, The University of Texas at Austin, 2018

Academic Appointments

Clinical Assistant Professor, The University of Texas at Austin, since 2021
Principal Researcher, The University of Chicago, 2018-2021

Selected Publications

“A Graph-Theoretic Approach to Randomization Tests of Causal Effects Under General Interference.” In revision, 2021.

“A Symmetric Prior for Multinomial Probit Models.” Bayesian Analysis, 2021.

“Monotonic Effects of Characteristics on Returns.” Annals of Applied Statistics, 2020.

“Regularization and Confounding in Linear Regression for Treatment Effect Estimation.” Bayesian Analysis, 2018.

“Variable Selection in Seemingly Unrelated Regressions with Random Predictors.” Bayesian Analysis, 2017.