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
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Armando Fox Division of Computer Science (EECS) online education, MOOC, blended learning, parallel programming, software engineering, Web development
Manxi Wu Dept of Civil and Environmental Engineering game theory, multi-agent learning, transportation systems analysis
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Fai Ma Dept of Mechanical Engineering dynamical systems with inherent uncertainties, vibration, damping and hysteresis
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
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
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
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
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Alastair Iles Dept of Environmental Science, Policy & Management chemicals policy and politics, sustainable food systems, environmental STS, sustainability transitions, sustainability learning and societal change
Ryan Tibshirani
Ryan Tibshirani
Ryan Tibshirani
