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
Holger Mueller Dept of Physics atomic, molecular, optical physics, advanced electron microscopy, cryo-EM
Lawrence Hall Dept of Physics physics, standard model of particle physics, symmetries of nature, symmetry of the electroweak interaction, spacetime symmetries: weak scale supersymmetry, constrained theories for the quark and charged lepton masses, supersymmetric theory
Irfan Siddiqi Dept of Physics condensed matter physics, superconducting qubits, quantum limited amplifiers, quantum circuits
Raphael Bousso Dept of Physics physics, quantum mechanics, gravity, unified description of nature, string theory, quantum properties of black holes, geometry of spacetime, covariant entropy bound, cosmological constant
Oskar Hallatschek Dept of Physics biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
Alessandra Lanzara Dept of Physics materials science, ultrafast science, quantum materials, sustainable materials, topological phases of matter
Lee Bernstein Dept of Nuclear Engineering nuclear science data, nuclear engineering, experimental nuclear physics, isotopes, nuclear astrophysics, nuclear science, nuclear weapons
Shannon Boettcher Dept of Chemical & Biomolecular Engineering Dept of Chemistry electrochemistry, materials chemistry, heterogeneous catalysis, hydrogen generation, electrolysis, batteries, membrane science
Roger Falcone Dept of Physics physics, lasers, x-rays, plasma physics, materials, atomic physics, ultrafast science
Naomi Ginsberg Dept of Chemistry Dept of Physics condensed matter physics and material science, physical chemistry, statistical mechanics, biophysics, atomic molecular and optical physics
Patrick Hsu Dept of Bioengineering generative biology, language models, virtual cell models, genome mining and editing, synthetic biology, AI agents for science
Adam Arkin Dept of Bioengineering Systems and Synthetic Biology, Environmental Microbiology of Bacteria and Viruses, Biomanufacturing, Biomedicine, Bioremediation, space, green and sustainable manufacturing, infectious disease, Biological Data Science
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
Kevin Edward Healy Dept of Bioengineering Dept of Materials Science and Engineering bioengineering, biomaterials engineering, bioinspired materials, regenerative medicine, stem cell engineering, microphysiological systems, organs on a chip, drug screening and discovery
Ting Xu Dept of Chemistry Dept of Materials Science and Engineering polymer, nanocomposite, biomaterial, membrane, directed self-assembly, drug delivery, protein therapeutics, block copolymers, nanoparticles
Alexis T. Bell Dept of Chemical & Biomolecular Engineering chemical engineering, heterogeneous catalysts, spectroscopic techniques, chemical reaction engineering
Matthew Welch Dept of Molecular & Cell Biology biology, cell motility, role of the actin cytoskeleton in cell locomotion, shape change, actin filament assembly, bacterial and viral pathogens
Lijie Chen Division of Computer Science (EECS) computational complexity, quantum computing, pseudorandomness, derandomization, complexity theory
Raka Ray Dept of Sociology Dept of South and Southeast Asian Studies feminist theory, gender, masculinity, middle-class, social movements, South and Southeast Asian studies, relations between dominant subaltern groups in India, women¹s movements in India
James Hurley Dept of Molecular & Cell Biology Structural Biology, reconstitution, membrane biology, autophagy, HIV, x-ray crystallography, cryo-electron microscopy
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories