Dr. Liang is an assistant professor at Chicago Booth. He is also the George C. Tiao faculty fellow in data science research.
His current research interests include studying the computational and algorithmic aspects of statistical inference, reconciling the empirical and theoretical gap in modern machine learning and statistical learning, and exploiting stochastic methods in non-convex optimization.
PhD in Statistics, 2017
Wharton School at University of Pennsylvania
BSc in Mathematics and Applied Mathematics, 2012
Peking University
Booth:
41000 (MBA): Business Statistics: Fall 19, Fall 18, Spring 18
Wharton:
George C. Tiao Faculty Fellowship, 2017-2018
for research in computational and data science
J. Parker Memorial Bursk Award, 2016
for excellence in research
US Junior Oberwolfach Fellow, 2015
Winkelman Fellowship, 2014-2017
the highest honorific fellowship awarded by the Wharton School