Marti Hearst Division of Computer Science (EECS) School of Information information visualization, web search, search user interfaces, human-computer interaction, user interfaces, empirical computational linguistics, natural language processing, online education
Richard Ivry Dept of Neuroscience Dept of Psychology cognitive neuroscience, behavior, cognition, brain, attention, coordination, psychology, motor and perceptual processes in normal and neurologically impaired populations, temporal processing, executive control
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
Shawn Shadden Dept of Mechanical Engineering cardiovascular biomechanics, computational mechanics, computational fluid dynamics, thrombosis, medical image processing, dynamical systems, fluid dynamics, Lagrangian coherent structures, mathematical modeling
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
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
Robert Thomas Knight Dept of Psychology cognitive neuroscience, language, physiology, memory, attention, psychology, working memory, neuropsychology, human prefrontal cortex, neural mechanisms of cognitive processing, sensory gating, sustained attention, ad novelty detection
Gašper Beguš Dept of Linguistics computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Henry Brady Dept of Political Science Goldman School of Public Policy comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Joel Fajans Dept of Physics astrophysics, plasma processing, physics, basic plasma physics, non-neutral plasmas, basic plasma physics experiments, pure electron plasma traps, cyrogenic plasmas, plasma bifurcations, basic non-linear dynamics, autoresonance
Haiyan Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Ramamoorthy Ramesh Dept of Materials Science and Engineering Dept of Physics Atomic-scale synthesis of complex oxide heterostructures, 2D materials, spin-charge coupling, polar and magnetic topologies, electron microscopy, piezoforce microscopy, NV magnetometry, materials processing for devices, energy efficient electronics(12634)
Nicholas Jewell School of Public Health Dept of Statistics AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Raffaella Margutti Dept of Astronomy Dept of Physics astrophysics, compact object mergers, core-collapse supernovae, gamma-ray bursts, Neutron Stars, radio astronomy, space astrophysics, stellar evolution, supernova shockwaves, supernovae, tidal disruption events
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Carmine Emanuele Cella Dept of Music mathematical representation of musical and acoustic signals, music composition
Marti Hearst
