Dr. Robert Kass

Biography

Robert Kass received his Ph.D. in statistics from the University of Chicago in 1980. His early work focused on geometrical methods, but in the mid-1980s, he shifted towards Bayesian inference. By the year 2000, he began investigating statistical methods in neuroscience, which has since become his primary area of research interest. Kass is actively involved in the Department of Statistics at Carnegie Mellon University, where he served as head for nine years, and he is a core faculty member of the Neuroscience Institute. He also holds a position in the Machine Learning Department, contributing to the interdisciplinary integration of statistical methods and machine learning techniques. His work emphasizes Bayesian analysis, graphical models, multivariate analysis, high-dimensional inference, point processes, and time series analysis.

Research Interests