Ying Zhu

I am an assistant professor of Statistics and Computer Science at Purdue University, West Lafayette. My research interests are at the intersections of statistics, economics and econometrics, machine learning, operations research and business analytics. I am looking for PhD students. If you are interested, please send an email to yingzhu@purdue.edu

Education: PhD in Business Administration, U.C. Berkeley (2010-2015); MA in Statistics, U.C. Berkeley (2012-2013); MS in Civil and Environmental Engineering (Transportation Operations Research), M.I.T.; BA in Mathematics, Carroll College, MT

Current Employment: Assistant Professor of Statistics and Computer Science, Dept. of Statistics, Dept. of Computer Science, Purdue University, West Lafayette (August 2018 – Present)

Former Employment: Research Associate in “Big Data Analytics”, Dept. of Economics, Social Science Data Analytics Initiative, Michigan State University, MI (September 2015 – August 2018)

Methodological Interests: High-Dimensional Estimation and Inference, Nonasymptotic Statistics, Semiparametric and Nonparametric Methods, Panel/Longitudinal Data Analysis (with Both i.i.d. and Temporal Features)Integration of Structural Modeling and Machine Learning, Causal Inference, Bayesian Methods 

Applicational Interests: Social Science and Business in general such as Education, Healthcare, Industrial Organization, Management, Marketing Strategy, Trade and Growth, Transportation Economics 

Working Papers

PhD Dissertation 
Endogenous Econometric Models and Multi-Stage Estimation in High-Dimensional Settings: Theory and Applications - University of California, Berkeley, Spring 2015

M.S. Thesis 
Evaluating Airline Delays: The Role of Airline Networks, Schedules, and Passenger Demands School of Engineering, Massachusetts Institute of Technology, Feb. 2009. (Results from this thesis appeared in ABC, CBS, and NBC in 2007)

Email: yingzhu@purdue.edu