Clinical Assistant Professor
Additional Titles: Program Director (Academic)
David Puelz is the director of policy analytics for the Salem Center for Policy at The University of Texas at Austin’s McCombs School of Business. He is also a clinical assistant professor, teaching Data Science for Economics and Policy, Introduction to Machine Learning, and Machine Learning in Finance.
Puelz’s research explores computational methods for applied data analysis, especially in the economic, social, and behavioral sciences. His latest work focuses on experimentation, causal inference, and data generated from networks.
Puelz previously was a postdoctoral researcher at the University of Chicago Booth School of Business and worked as an analyst for Goldman Sachs & Co.
Puelz is a referee for the Journal of the American Statistical Association, the Annals of Applied Statistics, the Journal of Business and Economic Statistics, Neural Computing and Applications, the Canadian Journal of Statistics, Econometrics and Statistics, and the Journal of Statistical Theory and Practice.
He received a B.A. in mathematics and physics from Wesleyan University in Connecticut. At UT, he completed an M.S. and Ph.D., both in statistics.