Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Christine Wildsoet School of Optometry optometry, vision science, myopia, refractive errors, accommodation, aberrations, eye growth, ocular therapeutics, optical myopia control, pharmacological myopia control, ocular tissue engineering, ocular stem cells, basic and clinical research with social implications
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Edward Arens Dept of Architecture indoor environment, thermal comfort, occupant surveys, building environmental control, ventilation, wind, architectural aerodynamics
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
Kameshwar Poolla Dept of Mechanical Engineering Division of Electrical Engineering (EECS) modeling, control, estimation, smart grids, renewable energy, electricity markets, transportation networks, integrated circuit design and manufacturing
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Timothy McQuade Haas School of Business design of optimal mortgage debt instruments, real estate economics, Affordable housing, household finance, rent control
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Xavier Darzacq Dept of Molecular & Cell Biology transcription regulation during cellular differentiation, gene expression control mechanism, biophysical rules of nuclear organization
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
K. Birgitta Whaley Dept of Chemistry quantum information and quantum computation, control and simulation of complex quantum systems, quantum effects in biological systems, quantum physics, quantum mechanics
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
Murat Arcak Division of Electrical Engineering (EECS) control, intelligent systems and robotics, Cyber-Physical Systems, networks, transportation, applications of system theory to aerospace problems, Systems and Synthetic Biology
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Biwen Zhang
