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
Van P. Carey Dept of Mechanical Engineering mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling.
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
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 School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Alexandre Mas Haas School of Business labor markets, human resources, data analysis and statistical methods
Priya Moorjani Dept of Molecular & Cell Biology Human evolutionary genetics, human genetics, ancient DNA, population genetics, statistical genetics
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Caitlin Rosenthal Dept of History American history, capitalism, economic history, slavery, human resources
Albert Ruhi Dept of Environmental Science, Policy & Management freshwater ecology, biodiversity conservation, global change biology, Drought
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
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
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
