Kathleen Collins Dept of Molecular & Cell Biology retrotransposon, reverse transcriptase, genome engineering, RNA sequencing
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Thomas Maimone Dept of Chemistry organic synthesis, total synthesis, natural products chemistry, catalysis, synthetic methodology, medicinal chemistry, organic chemistry, drug discovery
Christopher Martin Dept of Integrative Biology evolutionary biology, speciation, genomics, adaptation, craniofacial development
Rebecca W. Heald Dept of Molecular & Cell Biology cell division, Xenopus, mitotic spindle assembly and function, size control of intracellular structures
Gary Karpen Dept of Molecular & Cell Biology gene expression, cell biology, chromosome structure and function, drosophila melanogaster, centromere identity and function, biophysics, condensed phases
Carole S. Hickman Dept of Integrative Biology systematics, evolutionary paleobiology, morphology, molluscs, macroevolutionary trends and patterns, Cenozoic Era, fossil record, evolutionary history and structure
George Roderick Dept of Environmental Science, Policy & Management global change, environmental science, sustainability, biodiversity, invasive species, population genomics
Haiyan Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Ashley Wolf School of Public Health Dept of Plant and Microbial Biology gut microbiota, metabolism, genomics, host-microbe interactions
Raphael Bousso Dept of Physics physics, quantum mechanics, gravity, unified description of nature, string theory, quantum properties of black holes, the geometry of spacetime, covariant entropy bound, cosmological constant
Ramon Weber Dept of Architecture computational design, sustainability, structural modeling, generative design, embodied carbon
Aaron Streets Dept of Bioengineering bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics
Neil Tsutsui Dept of Environmental Science, Policy & Management insect behavior, evolutionary biology, ants, genetics, genomics, Argentine ants, kidnapper ants, chemical ecology, pheromones, urban parks, East Bay Regional Parks
Lia Scott School of Public Health breast cancer, structural racism as predictor of breast cancer, spatial epidemiologic methods
Claudia P. Ostertag Dept of Civil and Environmental Engineering energy, environmental analysis of civil infrastructure systems, structural engineering, mechanics and materials
Jack L. Gallant Dept of Neuroscience computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Martin White Dept of Astronomy Dept of Physics cosmology, formation of structure in the universe, dark energy, expansion of the universe, cosmic microwave background, quasars, redshift surveys
Mark Tanouye Dept of Environmental Science, Policy & Management Dept of Molecular & Cell Biology genetics, neuroanatomy, electrophysiology, mechanisms of nervous system structure and function, drosophila mutants
Erica Bree Rosenblum Dept of Environmental Science, Policy & Management evolutionary biology, global change biology, conservation biology, ecological genomics
Alane Suhr Division of Computer Science (EECS) artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Martyn Smith School of Public Health cancer, genomics, toxicology, molecular epidemiology, exposome, leukemia, lymphoma, breast cancer, carcinogenesis
Khalid M. Mosalam Dept of Civil and Environmental Engineering bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning