Tengyuan Liang
I am a Professor of Econometrics and Statistics at the University of Chicago, Booth School of Business.
I use insights and principles from learning theory and statistical theory to understand models and data. On the applied side, I study causal machine learning in business and economic contexts. Currently, I develop novel inference methods and build statistical and computational theories for generative models.