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Research Expertise and Interest

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Name

Department

Dept of Chemical & Biomolecular Engineering

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Jennifer Listgarten

Division of Computer Science (EECS)

artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Xiao-Jun Zhang

Haas School of Business

security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Anne Collins

Dept of Psychology

learning, decision making, computational modeling, executive functions

Alper Atamturk

Dept of Industrial Engineering & Operations Research

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

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Roberto Horowitz

Dept of Mechanical Engineering

adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems

Shachar Kariv

Dept of Economics

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

Gerbrand Ceder

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

Michael Silver

Dept of Neuroscience

School of Optometry

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

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

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

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