Research Expertise and Interest

neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization.

Research Description

Bin Yu is the Class of 1936 Second Chair in the College of Letters and Science and a professor in the Department of Statistics.  Her research interests are varied and included empirical processes, Markov Chain Monte Carlo methods, information theory and signal processing. She is currently working on statistical machine learning theory and algorithms to extract useful information from large data sets from remote sensing, data networks (internet and social networks), neuroscience and document summarization for social scientists and media analysis.