J. Miguel Villas-Boas Haas School of Business economics, competitive strategy, industrial organization, marketing strategy, customer relationship management, internet strategies, information acquisition, marketing
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
John Chuang Division of Electrical Engineering (EECS) School of Information climate informatics, biosensory computing, brainwave authentication, information economics and policy
Miranda Redmond Dept of Environmental Science, Policy & Management forest ecology, disturbance ecology, forest management
Slawomir W. Hermanowicz Dept of Civil and Environmental Engineering water quality management, biofilms, membrane processes, water reuse, biological processes for water quality, physical sustainability
Clayton J. Radke Dept of Chemical & Biomolecular Engineering chemical engineering, surface & colloid science technology, protein/polymer/surfactant adsorption from solution, two-phase enzymatic catalysis, interfacial surfactant transport, electrokinetics, pore-level fluid mechanics, contact-lens & eye mechanics
Graham R. Fleming Dept of Chemistry Dept of Industrial Engineering & Operations Research chemistry, proteins, chemical and biological dynamics in the condensed phase, ultrafast spectroscopy, liquids, solutions, glasses, photosynthetic proteins, role of solvents in chemical reactions, electronic energy transfer, electron transfer, regulation of photosynthetic light harvesting
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Ian Agol Dept of Mathematics topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms