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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

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, deep learning

Jason Lee

Dept of Statistics

Division of Computer Science (EECS)

machine learning theory, optimization, statistics, deep learning

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, deep learning

Kurt Keutzer

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Avideh Zakhor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, deep learning

John Lott

Dept of Mathematics

differential geometry, geometric analysis, geometry/topology

Richard H. Bamler

Dept of Mathematics

geometric analysis, differential geometry, topology

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

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

David Nadler

Dept of Mathematics

geometric representation theory, symplectic geometry

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, deep learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

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

Richard Allen

Dept of Earth and Planetary Science

Seismology, earthquakes, earthquake hazard mitigation, deep earth structure & dynamics, tomography, natural hazards

Brian A. Barsky

Division of Computer Science (EECS)

School of Optometry

computer science, geometric design and modeling, computer graphics, computer aided cornea modeling and visualization, medical imaging, virtual environments for surgical simulation

Jonathan Shewchuk

Division of Computer Science (EECS)

computational geometry, mesh generation, machine learning, numerical methods, physically-based animation

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Serina Chang

Division of Computer Science (EECS)

machine learning, network science, human mobility, public health, graph representation learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

David Foster

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Celeste Kidd

Dept of Psychology

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

Vira Semenova

Dept of Economics

econometrics, machine learning

Barbara Romanowicz

Dept of Earth and Planetary Science

earth & planetary science, deep earth structure & dynamics, earthquake processes & scaling laws, real time estimation of earthquake parameters, development of modern broadband seismic and geophysical observatories, planetary seismology

Tesha Sengupta-Irving

School of Education

STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

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