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Research Expertise and Interest

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Name

Department

Lin Lin

Dept of Mathematics

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

Jonathan Shewchuk

Division of Electrical Engineering (EECS)

scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Vira Semenova

Dept of Economics

econometrics, machine learning

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

Kurt Keutzer

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Jennifer Listgarten

Division of Computer Science (EECS)

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

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Ming Gu

Dept of Mathematics

mathematics, scientific computing, numerical linear algebra, convex optimization

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

Gerbrand Ceder

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

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