Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Grace Gu Dept of Mechanical Engineering Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials
Edward A. Lee Division of Electrical Engineering (EECS) Cyber-Physical Systems, embedded software, modeling and design of systems, real-time and concurrent system, theory of current systems
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Laura Stoker Dept of Political Science American politics, political behavior, political psychology, public opinion, voting and elections, political socialization, research design and empirical methods
Per F. Peterson Dept of Nuclear Engineering nuclear engineering, heat and mass transfer, reactor thermal hydraulics, nuclear reactor design, radioactive waste, nuclear materials management
Kirk Bansak Dept of Political Science causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology
Ganesh Iyer Haas School of Business competitive marketing strategy, internet strategy and e-commerce, information design, distribution channels, advertising and communication, bounded rationality
Alison Gopnik Dept of Psychology A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Frederic Theunissen Dept of Integrative Biology Dept of Neuroscience behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience
Edward Arens Dept of Architecture indoor environment, thermal comfort, occupant surveys, building environmental control, ventilation, wind, architectural aerodynamics
Timothy T. Brown School of Public Health Health insurance benefit design, chronic pain, public health services and systems, mental health economics, dental economics, social capital, econometrics
Sanjit Seshia Division of Computer Science (EECS) Division of Electrical Engineering (EECS) formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages
Thad Dunning Dept of Political Science political economy, ethnic politics, comparative clientelism in developing countries, research design, causal inference, statistical methods, multi-method research
Jun-Chau Chien Division of Electrical Engineering (EECS) biosensors, bioelectronics, microfluidics, molecular engineering, analog, RF/mm-wave, mixed-signal circuits, microsystems design, multi-physics, silicon photonics
Massimiliano Fratoni Dept of Nuclear Engineering nuclear reactor design, fuel cycle analysis, fusion reactors, nuclear power, nuclear engineering, nuclear reactor physics, nuclear reactor safety
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
John D. Kubiatowicz Division of Computer Science (EECS) computer architecture, quantum computer design, internet-scale storage systems and peer-to-peer networking, operating systems & networking, computer security
Julia Fawcett Dept of Theater, Dance, and Performance Studies performance history/historiography, British performance 1650-1800, British literature 1650-1800, disability, gender, social geography, set design
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