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.