Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Daniel Klein Division of Computer Science (EECS) unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction
Thomas Schutzius Dept of Mechanical Engineering nanoscale transport phenomena, micro/nanofabrication techniques, interfacial optical methods, thermodynamic and interfacial modeling
Dennis Baldocchi Dept of Environmental Science, Policy & Management biometeorology, climate change and ecosystems, biosphere-atmosphere interactions, agricultural meteorology, ecosystem ecology, carbon cycle, evaporation, ecohydrology, public impact research/scholarship, community-engaged research/scholarship
Jennifer Chayes Dept of Mathematics Dept of Statistics Division of Computer Science (EECS) phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
Anant Sahai Division of Computer Science (EECS) Division of Electrical Engineering (EECS) machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems
Raphael Bousso Dept of Physics physics, quantum mechanics, gravity, unified description of nature, string theory, quantum properties of black holes, the geometry of spacetime, covariant entropy bound, cosmological constant
Laurel Larsen Dept of Civil and Environmental Engineering Dept of Geography hydroecology, geomorphology, complex systems, restoration ecology, environmental modeling, wetlands, sediment transport, environmental fluid mechanics
Frederic Theunissen Dept of Integrative Biology Dept of Neuroscience behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience
Franco Zunino Dept of Civil and Environmental Engineering cement chemistry, advanced characterization methods for cementitious materials, low-carbon concrete, supplementary cementitious materials, calcined clay technology, LCA of cement-based materials
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Jonathan Shewchuk Division of Electrical Engineering (EECS) scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Sara McMains Dept of Mechanical Engineering geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning
Jennifer A. Doudna Dept of Chemistry Dept of Molecular & Cell Biology RNA machines, hepatitis C virus, RNA interference, ribosomes, x-ray crystallography, cryo-electron microscopy, CRISPR-Cas9 genome editing
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Alberto Sangiovanni-Vincentelli Division of Electrical Engineering (EECS) Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health
Guanyu Su Dept of Nuclear Engineering energy systems and technology, wireless sensor networks, machine learning, thermal hydraulics, heat and mass transfer in molten salt, high temperature thermal energy storage
Park Sinchaisri Haas School of Business operations management, operations research, machine learning, human-computer interaction, decision-making, behavioral science, behavioral economics, service operations, applied econometrics
David H. Raulet Dept of Molecular & Cell Biology biology, cancer immunology, natural killer (NK) cells, T-cell development and function, pathogens, viruses, lymphocyte receptors, microorganisms, cancer cells, tumor immunity, immunotherapy of cancer
Sung-Hou Kim Dept of Chemistry computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Xiao-Jun Zhang Haas School of Business security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing