Mary K. Firestone Dept of Environmental Science, Policy & Management soils, miicrobial biology, environmental science
Ignacio Chapela Dept of Environmental Science, Policy & Management agriculture, biotechnology, environmental science, microbial biology, policy and management
Víctor Ortega Jiménez Dept of Integrative Biology electrical and capillary forces on small animals, evolutionary biology, bio-inspired robotics
Anders Näär Dept of Nutritional Sciences & Toxicology gene expression, microRNAs, Mammalian Cell Metabolism, Metabolic Diseases, obesity, Type 2 diabetes, NAFLD/NASH, cancer therapies
David Moore Dept of Nutritional Sciences & Toxicology nuclear receptor molecular biology, gene regulation
Lance Kriegsfeld Dept of Integrative Biology Dept of Psychology Dept of Neuroscience Neuroendocrinology, NeuroendocrinologyCircadian Biology, cognition, mental health, Neuroimmunology, animal behavior
Filipa Rijo-Ferreira Dept of Molecular & Cell Biology School of Public Health molecular parasitology, mosquito vector biology in malaria infection, host-parasite interactions, host circadian rhythms, immunology, metabolism
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
Douglas Clark Dept of Chemical & Biomolecular Engineering chemical engineering, biochemical engineering, cell culture, biocatalyst engineering, microsystems, extremozymes, genomics of extremophiles, metabolic flux analysis, enzyme technology, bioactive materials
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
Claire Tomlin Division of Computer Science (EECS) Division of Electrical Engineering (EECS) electrical engineering, computer sciences, control, biosystems, control theory, intelligent systems, robotics, hybrid and embedded systems, biological cell networks
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Benjamin Blackman Dept of Integrative Biology Dept of Plant and Microbial Biology evolution, adaptation, domestication, phenotypic plasticity, flowering time, evo-devo, genomics, plant biology
Peter Sudmant Dept of Integrative Biology genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics
Krishna K. Niyogi Dept of Plant and Microbial Biology genetics, plant and microbial biology, algae, photosynthesis, CRISPR-Cas9 genome editing, carbon sequestration
Ksenia Krasileva Dept of Plant and Microbial Biology genome evolution, innate immunity, plant health, fungi
Richard S. Dodd Dept of Environmental Science, Policy & Management environmental policy, environmental science, forestry, wildlife, plant biology
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing
Hei Sook Sul Dept of Nutritional Sciences & Toxicology biochemistry, molecular and cellular biology, physiology of adipogenesis, thermogenesis, lipogenesis and lipolysis
Wenjun Zhang Dept of Chemical & Biomolecular Engineering chemical biology, microbiology, natural product biosynthesis, enzyme discovery and characterization, drug discovery
Lu Chen, MD, PhD, FARVO School of Optometry lymph and blood vascular biology, corneal inflammation, transplantation immunity, glaucoma
Marvalee H. Wake Dept of Integrative Biology development, evolution, systematics, amphibians, reproductive biology, vertebrate evolutionary morphology, fishes, reptiles, comparative analysis, biodiversity issues
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies