David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
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
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
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
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
Alexandre Mas Haas School of Business labor markets, human resources, data analysis and statistical methods
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Manxi Wu Dept of Civil and Environmental Engineering game theory, multi-agent learning, transportation systems analysis
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
Robert M. Anderson Dept of Economics finance, probability theory, mathematical economics, nonstandard analysis
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Alvin Cheung Division of Computer Science (EECS) program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
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
Thomas Courtade Division of Electrical Engineering (EECS) information theory, probability, data compression, communications, computer science
Olga Holtz Dept of Mathematics numerical analysis, matrix and operator theory, approximation theory, wavelets and splines, orthogonal polynomials and special functions, analysis of algorithms and computational complexity
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
David Bamman
