Jens Hainmueller
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 Jens Hainmueller is the Kimberly Glenn Professor in Political Science and Director of Graduate Studies of the Department of Political Science at Stanford University. He is the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs. His research interests include statistical methods, causal inference, immigration, and political economy. He has published close to 70 articles that have been cited more than 37,000 times, many of them in top general science journals and top field journals in political science, statistics, economics, and business. His statistical methods are used by organizations to conduct causal inferences in various settings. He has also published multiple open source software packages. His research has received funding from organizations such as Schmidt Futures, the Robin Hood Foundation, the Robert Wood Johnson Foundation, the National Science Foundation, the National Institute of Health, and the National Bureau of Economic Research. His research has won various awards including the Gosnell Prize for Excellence in Political Methodology, the Warren Miller Prize, the Robert H. Durr award, and the Emerging Scholar award by the Society of Political Methodology. He was selected as an Andrew Carnegie Fellow and inducted as a Fellow of the Society of Political Methodology. He has received an honorary degree from the European University Institute (EUI).

Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tuebingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology.

Google Scholar Citation Page.
Social Science Research Network Page.

Selected Publications:

"Improving refugee integration through data-driven algorithmic assignment". Science.

"Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program." Journal of the American Statistical Association.

"Entropy Balancing: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies." Political Analysis

"A randomized controlled design reveals barriers to citizenship for low-income immigrants?  Proceedings of the National Academy of Sciences.

"Protecting Unauthorized Immigrant Mothers Improves their Children's Mental Health". Science.

"Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments''. Political Analysis.

"How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers". Science.

"Naturalization Fosters the Long-Term Political Integration of Immigrants". Proceedings of the National Academy of Sciences. 

"Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach." Political Analysis.