Ying Zhu

I am seeking a tenure-track position in academic programs that value rigorous and interdisciplinary methodological and theoretical research in data science (such as statistics, econometrics, machine learning, and business analytics) that is potentially applicable to many real-world problems. 

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

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

Methodological Areas: High-Dimensional (Causal) Estimation and Inference, Nonasymptotic Statistics, Semiparametric Models, Panel/Longitudinal Data Models (with Both i.i.d. and Temporal Features)Nonparametric Estimation 

Applications of Interest: Big Data Methods for Problems in Social Science and Business in general such as Education, Healthcare, Industrial Organization, Management, Marketing Strategy, Trade and Growth, Transportation

Working Papers
  • High Dimensional Inference in Partially Linear Models by Ying Zhu, Zhuqing Yu, Guang Cheng 
  • Inference in Linear Models with Correlated Random Effects and Unbalanced Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical author ordering) 
  • Behavior of Pooled and Joint Estimators in Probit Model with Random Coefficients and Serial Correlation by Alyssa Carlson, Jeffrey Wooldridge, Ying Zhu 

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

PhD dissertation committee chairs: James Powell (Economics), J. Miguel Villas-Boas (Haas School of Business)
PhD dissertation committee members: Martin Wainwright (Statistics and EECS),  Ganesh Iyer (Haas School of Business), Przemyslaw Jeziorski (Haas School of Business), Demian Pouzo (Economics)

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

About me: My academic background includes operations research (with focus in transportation) from M.I.T., statistics from the Statistics Department at U.C. Berkeley, economics and econometrics from the Economics Department, and industrial organization and game theoretical modeling from the Haas School of Business. My work has been at the intersection of statistics, econometrics, machine learning, and social science. While a PhD student at U.C. Berkeley, I was encouraged to have my own research agenda ranging from developing ideas to the final paper writing, which made my path somewhat different from many other academics. In particular, I started my career as a solo author on three publications. Since 2016, I have engaged actively in more collaborative work with researchers from different fields.

References (in alphabetical order): Mehmet Caner (Professor, Economics, Ohio State University); Guang Cheng (Professor, Statistics, Purdue University); James Powell (Professor, Department Chair, Economics, U.C. Berkeley); J. Miguel Villas-Boas (Professor, Haas School of Business; U.C. Berkeley); Timothy Vogelsang (Professor, Department Chair, Economics, Michigan State University; letter concerning teaching); Jeffrey Wooldridge (Professor, Economics, Michigan State University)

Email: yzhu@msu.edu; yingzhu@berkeley.edu