Dr. John Lafferty

Adjoint Professor

PhD - Princeton University

John Lafferty is the Louis Block Professor in the Departments of Statistics, Computer Science, and the College at The University of Chicago. His research area is machine learning, with a focus on computational and statistical aspects of nonparametric methods, high-dimensional data, graphical models, and text modeling. 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 the University of Chicago in 2011, he was a faculty member in the Computer Science Department at Carnegie Mellon University for almost twenty years. At CMU he was also a faculty member in Statistics and the Machine Learning Department, where he played a role in founding and directing the Machine Learning Ph.D. program. Lafferty served as progam co-chair and general co-chair of the Neural Information Processing Systems Foundation conferences in 2009 and 2010, and serves on the NIPS Board. He is currently a member of the Committee on Applied and Theoretical Statistics (CATS) of the National Research Council. Lafferty and his co-authors received 10-year best paper awards from the International Conference on Machine Learning in 2011, 2012 and 2013.