Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
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
Jitendra Malik Division of Computer Science (EECS) computer science, electrical engineering, vision science, computer vision, robotics
Cesunica Ivey Dept of Civil and Environmental Engineering atmospheric modeling, exposure monitoring, environmental justice applications, community resilience, climate adaptation and disaster resilience
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Steven Weber Dept of Political Science School of Information political science, international security, international political economy, information science
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
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
Daryl C. Chrzan Dept of Materials Science and Engineering materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Ahmad Omar Dept of Materials Science and Engineering statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Claire Tomlin Division of Computer Science (EECS) Division of Electrical Engineering (EECS) electrical engineering, computer sciences, control, biosystems, control theory, intelligent systems, robotics, hybrid and embedded systems, biological cell networks
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
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Teresa Head-Gordon Dept of Bioengineering Dept of Chemical & Biomolecular Engineering Dept of Chemistry Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science
David Savage Dept of Molecular & Cell Biology biochemistry, metabolism, photosynthetic systems, Systems and Synthetic Biology, protein engineering
Roya Maboudian Dept of Chemical & Biomolecular Engineering surface and interfacial science and engineering, nanotechnology, harsh-environment sensors, silicon carbide, green construction, biologically-inspired materials synthesis
Lee Bernstein Dept of Nuclear Engineering nuclear science data, nuclear engineering, experimental nuclear physics, isotopes, nuclear astrophysics, nuclear science, nuclear weapons
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
Alexander Katz Dept of Chemical & Biomolecular Engineering chemical engineering, nanoengineering, catalytic imprinted silicas, catalysts in biological systems, catalysis, chemical sensing
Michael Jordan
Michael Jordan
Michael Jordan
