Paul Grigas Dept of Industrial Engineering & Operations Research large-scale convex optimization, statistical machine learning, data-driven decision-making
Lexin Li Berkeley Public Health neuroimaging data analysis, networks data analysis, personalized recommendation, statistical genetics, computational biology, dimension reduction, variable selection, high dimensional regressions, statistical machine learning, data mining, computational statistics
Martin J. Wainwright Division of Computer Science/EECS statistical machine learning, statistics, Optimization and algorithmss., artificial intelligence
Bin Yu Dept of Statistics neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization.