Duncan Callaway Dept of Energy & Resources Group Division of Electrical Engineering/EECS energy systems analysis; grid decarbonization; modeling, control and optimization for electric power systems
Ming Gu Dept of Mathematics mathematics, scientific computing, numerical linear algebra, convex optimization
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Giles Hooker Dept of Statistics statistical computing, applications in the physical and environmental sciences, applications in biology and medicine, non-parametric inference, artificial intelligence, machine learning
Haiyan Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
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
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
George F. Smoot Dept of Physics cosmology, physics, astrophysics experiments, observational astrophysics, observing our galaxy, the cosmic background radiation, ground-based radio-telescope observations, balloon-borne instrumentation, satellite experiments, the NASA cosmic background
Susan Irene Stone School of Social Welfare school-based psycho-social services, school-effects, archival data analysis
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Duncan Callaway
Duncan Callaway
