Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
David M. Auslander Dept of Mechanical Engineering control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Alane Suhr Division of Computer Science (EECS) artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
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
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
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
Diag Davenport
Diag Davenport
Diag Davenport
