William H. Miller Dept of Chemistry theoretical chemistry, chemical dynamics, quantum mechanical and semiclassical theories, dynamical chemical processes at the molecular level, photodissociation, femtosecond pump-probe spectroscopy, calculations of rate constants for chemical reactions
Ehud Altman Dept of Physics atomic, molecular and optical physics, condensed matter physics and materials science
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Michael Nylan Dept of History gender, history, East Asian studies, early China, the fifth century BC to the fifth century AD, with an emphasis on the sociopolitical context, aesthetic theories and material culture, belief
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
Carlos Bustamante Dept of Chemistry Dept of Molecular & Cell Biology Dept of Physics nanoscience, structural characterization of nucleo-protein assemblies, single molecule fluorescence microscopy, DNA-binding molecular motors, the scanning force microscope, prokaryotes
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
Ian Agol Dept of Mathematics topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology
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
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Ali Mesbah Dept of Chemical & Biomolecular Engineering model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
William H. Miller
