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
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
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
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
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
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
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
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
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
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
Ahmad Omar Dept of Materials Science and Engineering statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly
Priya Moorjani Dept of Molecular & Cell Biology Human evolutionary genetics, human genetics, ancient DNA, population genetics, statistical genetics