I received my Ph.D. in statistics from the University of Chicago in 1980. My early work was in geometrical methods, in the mid-1980s I turned to Bayesian inference, and then in 2000 I began studying statistical methods in neuroscience. I am actively involved not only in the Department of Statistics & Data Science (where I served as head for nine years), but also the Machine Learning Department and the Neuroscience Institute.
I am broadly interested in developing and understanding statistical methods in neuroscience, especially involving approaches from Bayesian analysis, graphical models, multivariate analysis, high-dimensional inference, point processes, and time series. Please see my website http://www.stat.cmu.edu/~kass/ for more-or-less complete and current information.