John D. Lafferty
Rina Foygel Barber, Chao Gao, Tracy Ke, and I organize a research and reading group at the University of Chicago called HELIOS (High-dimensional Estimation, Learning, Inference and Optimization in Statistics).
Dave Blei and I have launched the Hopper project to study statistical machine learning algorithms for extracting representations of text and mathematical expressions and building new search tools for the published scientific literature. Hopper is supported by a grant from the Alfred P. Sloan Foundation.
During summer 2016 I taught a minicourse at Columbia on high dimensional statistical learning.
A report was prepared from a 2014 NRC workshop we organized on
training students to extract value from big data.
In September 2016 we ran a workshop at the Becker-Friedman Institute for Research in Economics on the theme Machine Learning: What's in it for Economics?
Recent publications and preprints
The research of my group is currently supported by grants from the National Science Foundation, the Alfred P. Sloan Foundation, the Office of Naval Research, DARPA, Amazon AWS in Education Machine Learning, and Facebook (AI/ML).