Karl van Bibber Dept of Nuclear Engineering Particle Astrophysics, experimental nuclear physics, Accelerator Technology and Neutron Sources
Simo Mäkiharju Dept of Mechanical Engineering experimental fluid dynamics, fluid dynamics, Cavitation, multiphase flow, drag reduction, ocean renewable energy, particle image velocimetry, Time-Resolved X-Ray Densitometry, Droplet and particle transport
Steven Conolly Division of Electrical Engineering (EECS) instrumentation, medical imaging reconstruction, contrast, MRI, Magnetic Particle Imaging
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Yury Kolomensky Dept of Physics particle physics, precision measurements, electroweak interactions, neutrino physics, QCD, BaBar, E158, CUORE, Mu2e
Yasunori Nomura Dept of Physics quantum gravity, cosmology, Theoretical Particle Physics, quantum information
Petr Horava Dept of Physics cosmology, physics, quantum geometry, particle physics, string (and M-) theory, quantum gravity
Kam-Biu Luk Dept of Physics physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics
Hitoshi Murayama Dept of Physics physics, particle physics, the universe, fundamental constituents of matter, Higgs boson, anti-matter, neutrino oscillations, finite value of the cosmological constant, triple coincidence of energy densities
Jonathan Wurtele Dept of Physics physics, stability, plasma theory, advanced accelerator concepts, intense laser-plasma interaction, the basic equilibrium, radiation properties of intense charged particle beams, simulation and the development of proof-of-principle experiments
Daniel McKinsey Dept of Physics dark matter, noble gases, cryogenics, high voltages, particle physics, astrophysics, low temperature physics, detector physics, neutrinos
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Wick Haxton Dept of Physics astrophysics, neutrino physics, nuclear astrophysics, tests of symmetries and conservation laws in nuclear and particle and atomic physics, many-body theory, effective theories
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
B. Kelsey Jack Haas School of Business environmental economics, development economics, field experiments
Eric B. Norman Dept of Nuclear Engineering nuclear astrophysics, experimental nuclear physics, homeland security, neutrinos
George F. Smoot Dept of Physics cosmology, physics, astrophysics experiments, observational astrophysics, observing our galaxy, the cosmic background radiation, ground-based radio-telescope observations, balloon-borne instrumentation, satellite experiments, the NASA cosmic background
Shachar Kariv Dept of Economics economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning
Solène Delecourt Haas School of Business business performance, entrepreneurship, discrimination, field experiments, management