Kathleen (Kathy) Li is an assistant professor of marketing at The University of Texas at Austin’s McCombs School of Business. She develops and improves cutting-edge causal inference methods for evaluating marketing and policy interventions and develops the theory necessary for inference.

Her research has been published in top marketing and statistics journals, including Marketing Science, Management Science, the Journal of Marketing Research, the Journal of the American Statistical Association, and the Journal of Econometrics.

Her Ph.D. dissertation, titled “Three Essays on Estimating Average Treatment Effects in Quasi-Experimental Panel Data,” won the 2018 John A. Howard/American Marketing Association Doctoral Dissertation Award. Her papers have been finalists for the 2023 Paul E. Green Award and the 2023 John D.C. Little Best Paper Award and have won the 2023 Frank M. Bass Dissertation Award. She is also a 2023 Marketing Science Institute Young Scholar, which recognizes the “most prominent early-career scholars in the world.”

Li received her Ph.D. in marketing from the Wharton School of the University of Pennsylvania and a B.A. in economics, mathematics, and statistics from Rice University.