Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Grace Gu Dept of Mechanical Engineering Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials
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
Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
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
Gerald Westheimer Dept of Molecular & Cell Biology Dept of Neuroscience neurobiology; psychophysics, primate visual cortex, neural circuits, brain mechanisms, response modifications, active perception, learning, stereoscopic vision, optometryoptics of the eye, ophthalmic instrumentation
Xiao-Jun Zhang Haas School of Business security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing
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
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
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
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
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
Glynda Hull School of Education language, culture, society, education, literacy, writing in and out of schools, multi-media technology, new literacies, adult learning, work, community, school, university collaborations
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
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
Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Tabitha Kanogo Dept of History colonialism, nationalism, women and gender, childhood and youth, activism and environmental conservation, agricultural labor history
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
Sean Darling-Hammond School of Public Health K-12, education policy, exclusionary discipline, school policing, restorative practices, social and emotional learning, student mental health, health equity, implicit bias, intergroup contact
Ken Ueno Dept of Music music composition, decolonizing music, noise, sound installations, music of Japan, extended vocal techniques, overtone singing, musical culture of Japan, experimental improvisation
Marié Abe Dept of Music sound and space, ethnography, human geography, sound studies, music and social movements, affect and the body, Japanese popular performing arts, critical ocean studies, public ethnomusicology
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
Samantha Lewis Dept of Molecular & Cell Biology mitochondrial biogenesis, mitochondrial genome inheritance, organelle assembly, DNA replication, cell metabolism, interactions between membrane-bound organelles
Calvin Morrill School of Law sociology of law, organizational theory, ethnography, social movements, youth culture and conflict, sociology of culture, entrepreneurship
Michael Jordan
