Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Lawrence Cohen Dept of Anthropology Dept of South and Southeast Asian Studies social cultural anthropology, medical and psychiatric anthropology, critical gerontology, lesbian and gay studies, feminist and queer theory
Anne Collins Dept of Psychology Dept of Neuroscience learning, decision making, computational modeling, executive functions
Marianne Constable Dept of Rhetoric law and language, legal rhetoric and philosophy, social and political thought, Anglo-American legal history, continental philosophy, law and society
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations
Anne E. Cunningham School of Education education, literacy, reading development, children and technology, teacher professional development
Ronald Dahl School of Public Health adolescence, brain development, behavioral and emotional health, pubertal maturation, affective neuroscience, social neuroscience
Trevor Darrell Division of Computer Science (EECS) artificial intelligence, intelligent systems and robotics, computer vision
Michael DeWeese Dept of Physics Dept of Neuroscience machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Anca Dragan Division of Computer Science (EECS) robotics, human-robot interaction, human-compatible artificial intelligence
Sandrine Dudoit School of Public Health Dept of Statistics statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Laurent El Ghaoui Division of Electrical Engineering (EECS) decision-making under uncertainty, convex optimization, robust optimization, sparse optimization, machine learning, implicit deep learning, lifted deep learning
Munis D. Faruqui Dept of South and Southeast Asian Studies Mughal India, Delhi Sultanate, Islam in South Asia/India, Urdu
Dan Feldman Dept of Molecular & Cell Biology Dept of Neuroscience neurobiology, learning, neurophysiology, sensory biology
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
David Foster Dept of Psychology behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf
Armando Fox Division of Computer Science (EECS) online education, MOOC, blended learning, parallel programming, software engineering, Web development
Jack L. Gallant Dept of Psychology computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Paul Gertler School of Public Health Dept of Demography Haas School of Business health economics, public health, health care financing, economic development, industrial organizaition
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Joseph Gonzalez Division of Computer Science (EECS) artificial intelligence, database management systems
Alison Gopnik Dept of Psychology A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism
Irene Chen
Irene Chen
Irene Chen
