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Research Expertise and Interest

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Name

Department

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

Don Moore

Haas School of Business

negotiation, judgment and decision making, Overconfidence, biases, forecasting

Joni Wallis

Dept of Neuroscience

prefrontal cortex, neurophysiology, executive control, decision making

Michael Silver

Dept of Neuroscience

School of Optometry

cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging

Anne E. Cunningham

School of Education

education, literacy, reading development, children and technology, teacher professional development

Alper Atamturk

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Negar Mehr

Dept of Mechanical Engineering

robotics, control theory, artificial intelligence, game theory, machine learning

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

Joshua Blumenstock

School of Information

machine learning, development economics, poverty and public policy, inequality and crisis

Lin Lin

Dept of Mathematics

applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning

Laura Kray

Haas School of Business

gender, negotiations, stereotypes, decision making, mindsets, motivated cognition

Ellen Evers

Haas School of Business

moral psychology, collecting, judgment and decision making, pattern perception

Shachar Kariv

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Eileen D. Gambrill

School of Social Welfare

social welfare, professional ethics and education, social learning theory, behavioral methods

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Liz Gálvez

Dept of Architecture

design, architecture and environment, materials, heating and cooling, building technologies, sustainable design

John Wright

Division of Computer Science (EECS)

quantum state learning, quantum complexity theory, property testing, approximation algorithms

Alexei Efros

Division of Computer Science (EECS)

computer vision, computer graphics, computational photography, machine learning, artificial intelligence

Jingshen Wang

School of Public Health

precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Susana Chung

School of Optometry

optometry, low vision, vision science, pattern vision, reading, cortical adaptation and plasticity

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

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