Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Robert G. Bergman Dept of Chemistry organic and inorganic chemistry: synthesis and reaction mechanisms, organotransition metal compounds, homogeneous catalysis
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Ziqi Wang Dept of Civil and Environmental Engineering structural engineering, mechanics and materials, structural reliability, earthquake engineering, uncertainty quantification
James W. Rector Dept of Civil and Environmental Engineering geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas
Hiroshi Nikaido Dept of Molecular & Cell Biology membrane biochemistry, bacterial physiology, bacteria, channel-forming proteins of the outer membrane, the diffusion of lipophilic compounds, mechanism and regulation of multidrug efflux transport systems, mycobacterial cell wall
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Kunxin Luo Dept of Molecular & Cell Biology signal transduction pathways, mechanisms controlling the receptor kinases, regulation of mammary epithelial cell differentiation, breast carcinogenesis
K. Birgitta Whaley Dept of Chemistry quantum information and quantum computation, control and simulation of complex quantum systems, quantum effects in biological systems, quantum physics, quantum mechanics
Peter Hosemann Dept of Nuclear Engineering microscopy, nanomaterials, Nuclear materials, material science, radiation damage, corrosion in liquid metals, materials development, materials under extremes, nuclear applications, ion beam microscopy, nanoscale mechanical testing
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Maciej Zworski Dept of Mathematics mathematics, partial differential equations, mathematical physics, mathematical aspects of quantum mechanics, scattering theory, microlocal analysis
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Judith P. Klinman Dept of Chemistry Dept of Molecular & Cell Biology catalytic & regulatory mechanisms in enzyme-catalyzed reactions, kinetic, spectroscopic, stereochemical biological techniques, peptide- derived cofactors, nuclear tunneling & role of protein dynamics in catalysis, enzymatic activation of molecular oxygen
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
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
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Ying Cui
