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Research Expertise and Interest

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Name

Department

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Alistair Sinclair

Dept of Statistics

Division of Electrical Engineering (EECS)

algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization

Jennifer Listgarten

Division of Computer Science (EECS)

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

Jitendra Malik

Division of Computer Science (EECS)

computer science, electrical engineering, vision science, computer vision, robotics

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, precision medicine, precision health

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Ahmad Omar

Dept of Materials Science and Engineering

statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly

Alexandre Bayen

Division of Electrical Engineering (EECS)

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

Daryl C. Chrzan

Dept of Materials Science and Engineering

materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures

Peter Bickel

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Lee Bernstein

Dept of Nuclear Engineering

nuclear science data, nuclear engineering, experimental nuclear physics, isotopes, nuclear astrophysics, nuclear science, nuclear weapons

Cesunica Ivey

Dept of Civil and Environmental Engineering

atmospheric modeling, exposure monitoring, environmental justice applications, community resilience, climate adaptation and disaster resilience

Peter Hosemann

Dept of Nuclear Engineering

microscopy, nanomaterials, Nuclear materials, material science, radiation damage, corrosion in liquid metals, materials development, materials under extremes, nuclear applications, ion beam microscopy, nanoscale mechanical testing

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Song Mei

Dept of Statistics

data science, statistics, machine learning

Roya Maboudian

Dept of Chemical & Biomolecular Engineering

surface and interfacial science and engineering, nanotechnology, harsh-environment sensors, silicon carbide, green construction, biologically-inspired materials synthesis

Alan Hammond

Dept of Statistics

probability, mathematical probability, statistical mechanics

Fyodor Urnov

Dept of Molecular & Cell Biology

CRISPR gene editing for clinical applications

Zaijun Chen

Division of Electrical Engineering (EECS)

physical electronics, artificial intelligence, computer architecture & engineering, information / data / network / communication science, integrated circuits

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Thomas Scanlon

Dept of Mathematics

mathematics, model theory, applications to number theory

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