Farrell is an Associate Professor of Economics and the Mellichamp Chair of Mind and Machine Intelligence. His research spans machine learning, high-dimensional data, and semiparametric and nonparametric methods, focusing on mathematical and statistical problems and causal inference. His novel analysis methods have been developed into award-winning open source software. His work appears in Econometrica, the Journal of the American Statistical Association, the Annals of Statistics, the Review of Economics and Statistics, and other outlets. He currently serves as associate editor for the Review of Economics and Statistics and for the Journal of Applied Econometrics and sits on the editorial board for the Journal of Machine Learning Research. He is an Amazon Scholar. Farrell earned a Ph.D. in economics and an MA in statistics from the University of Michigan and S.B degrees in mathematics and economics from the Massachusetts Institute of Technology.