John LeeResearch Staff
Experimental Design, Causal Inference, Statistical Modeling, Machine Learning Techniques, Survey Methods
John Lee is a Research Manager at the Heldrich Center. He is based at the New Jersey Department of Labor and Workforce Development, where he primarily focuses on research projects related to program evaluation. He has been and is currently involved in projects, including an experimental study of the Reemployment Services and Eligibility Assessment, fuzzy (string) matching of employer names, and the development of scorecards for New Jersey training and education providers.
John holds a B.A. in political science from Northwestern University; he is completing his M.S. in statistics and Ph.D in sociology at the same institution (graduation: June 2021). During his graduate education, he authored or co-authored studies related to inequalities in K-12 public education, racial/ethnic discrimination in hiring, and the politicization of science. In terms of research methods, John has expertise in experimental design, causal inference, statistical modeling, machine learning techniques, and survey methods (e.g., developing sampling weights).