Dr. John Lafferty

Adjoint Professor

PhD - Princeton University

John Lafferty is the John C. Malone Professor of Statistics and Data Science at Yale University. His research area is machine learning, with a focus on computational and statistical aspects of nonparametric methods, high-dimensional data, graphical models, and data analysis of scientific literature. Lafferty received his doctoral degree in mathematics from Princeton University, where he was a member of the Program in Applied and Computational Mathematics. Prior to joining Yale in 2017, he was a faculty member in the Department of Statistics and the Department of Computer Science at the University of Chicago, and a faculty member in the Computer Science Department and the Machine Learning Department at Carnegie Mellon University. At CMU he played a role in founding and directing the Machine Learning Ph.D. program.