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Research Expertise and Interest

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Name

Department

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

Mark W. Mueller

Dept of Mechanical Engineering

robotics, UAVs, estimation, control

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

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

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

Francesco Borrelli

Dept of Mechanical Engineering

automotive control systems, distributed and robust constrained control, manufacturing control systems, energy efficient buildings, model predictive control

Lawrence Hall

Dept of Physics

physics, standard model of particle physics, symmetries of nature, the symmetry of the electroweak interaction, spacetime symmetries: weak scale supersymmetry, constrained theories for the quark and charged lepton masses, supersymmetric theory

Alan Hammond

Dept of Statistics

probability, mathematical probability, statistical mechanics

Kameshwar Poolla

Dept of Mechanical Engineering

Division of Electrical Engineering (EECS)

modeling, control, estimation, smart grids, renewable energy, electricity markets, transportation networks, integrated circuit design and manufacturing

Jennifer Listgarten

Division of Computer Science (EECS)

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

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

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

Matthew Welch

Dept of Molecular & Cell Biology

biology, cell motility, the role of the actin cytoskeleton in cell locomotion, shape change, actin filament assembly, bacterial and viral pathogens

Richard Stanton

Haas School of Business

mortgage markets, prepayment modeling, valuation, hedging, term structure modeling valuation of derivative securities, application of non-parametric estimation techniques, pricing of derivatives

Ryan Tibshirani

Dept of Statistics

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

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

cellular and systems biology, statistical inference, single-cell genomics

Alexandre Mas

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

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

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Priya Moorjani

Dept of Molecular & Cell Biology

Human evolutionary genetics, human genetics, ancient DNA, population genetics, statistical genetics

Ahmad Omar

Dept of Materials Science and Engineering

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

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