Edgar Knobloch Dept of Physics astrophysics, geophysics, physics, nonlinear dynamics of dissipative systems, bifurcation theory, low-dimensional behavior of continuous systems, the theory of nonlinear waves, pattern formation in fluid systems, geophysical and astrophysical fluid dynamics, reaction-diffusion systems
Junqiao Wu Dept of Materials Science and Engineering semiconductors, nanotechnology, energy materials, condensed matter physics and materials science
Steven Louie Dept of Physics nanoscience, nuclear magnetic resonance, semiconductors, metals, physics, fullerenes, nanotubes, condensed matter theory, surfaces, defects, nanostructure materials, clusters, many-electron effects in solids
Edward C. Morse Dept of Nuclear Engineering applied plasma physics: fusion technology: microwaves, experimental investigation of RF plasma heating, experimental studies of compact toroids spectral method for magnetohydrodynamic stability
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Kristine Madsen School of Public Health health disparities, children, schools, policy, nutrition, physical activity, obesity, accelerometers, physical education
Ana Claudia Arias Division of Electrical Engineering (EECS) physical electronics, energy, flexible and printed electronics
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Hannah R Thompson School of Public Health epidemiology, physical activity, nutrition and health, childhood and youth, health disparities, school/community partnerships, participatory research, public education, physical education
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Karl van Bibber Dept of Nuclear Engineering Particle Astrophysics, experimental nuclear physics, Accelerator Technology and Neutron Sources
Jiyun Kang Dept of Materials Science and Engineering physical metallurgy, manufacturing, autonomous metal processing, correlative microscopy
Sayeef Salahuddin Division of Electrical Engineering (EECS) physical electronics, design and modeling and analysis, energy, scientific computing
Steven Kahn
