Matt Taddy

Matt Taddy focuses on Bayesian modeling and inference, in particular for high-dimensional data and space-time processes. He considers data analysis applications in ecology, medicine, engineering, econometrics, and social research. This applied work has involved extensive collaboration with large research agencies, including Lawrence Livermore National Laboratory, Sandia National Laboratories, NASA Ames Research Center, and Los Alamos National Laboratory. He previously taught math and statistics at the University of California Santa Cruz and McGill University in Canada. "I am interested in any application where statistical methodology will allow us to gain valuable new insight from complex data, and where existing analysis techniques are unable to provide a complete picture of our uncertainty."

Taddy earned his PhD in statistics in 2008 from the University of California, Santa Cruz with a dissertation entitled, "Bayesian Nonparametric Analysis of Conditional Distributions and Inference for Poisson Point Processes." He joined the Chicago Booth faculty in 2008.

Selected Publications