Hillel Adesnik Dept of Molecular & Cell Biology neural basis of perception, neuroscience, neurobiology
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Gopala Krishna Anumanchipalli Division of Computer Science/EECS biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics
Francisco Armero Dept of Civil and Environmental Engineering computational mechanics, nonlinear continuum mechanics
Anil Aswani Dept of Industrial Engineering & Operations Research personalized medicine and healthcare systems, optimization of human-automation systems, statistical and optimization theory, game-theoretic modelling and visual analytics
Alper Atamturk Dept of Industrial Engineering & Operations Research logistics, integer programming, computational optimization, robust optimization
Adda Athanasopoulos-Zekkos Dept of Civil and Environmental Engineering civil infrastructure systems, geosystems, geotechnical engineering; landslides; drones; satellites; earthquakes; natural hazards; infrastructure resilience; informatics
Doris Bachtrog Dept of Integrative Biology evolution of sex and recombination, Y degeneration, dosage compensation, sexually antagonistic variation
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science
Kirk Bansak Dept of Political Science causal inference, experimental design and analysis, immigration policy, survey methodology, political economy, computational social science
Lisa Barcellos Berkeley Public Health public health, genetic epidemiology, human genetics, autoimmune diseases, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology
Gašper Beguš Dept of Linguistics computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics
Giovanni Betti Dept of Architecture architecture, architectural design, performance-based design, next-generation building systems; self-regulated facades; biologically inspired technologies; multifunctional materials, sustainable built environments, design-based research
Isaac L. Bleaman Dept of Linguistics sociolinguistics, language contact, language change, language maintenance, computational linguistics, syntax, phonetics, Yiddish, Jewish languages
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
William Boos Dept of Earth and Planetary Science atmospheric science, climate dynamics, monsoons, Earth's hydrological cycle
Steven E. Brenner Dept of Bioengineering Dept of Molecular & Cell Biology Dept of Plant and Microbial Biology molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics
Luisa Caldas Dept of Architecture virtual and augmented reality for building design and simulation, net zero energy and sustainable design, parametric and generative design systems for sustainable architecture, daylighting, daylighting in buildings, housing solutions for the developing world and refugee camps
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
John F. Canny Division of Computer Science/EECS computer science, activity-based computing, livenotes, mechatronic devices, flexonics
Van P. Carey Dept of Mechanical Engineering mechanical engineering, statistical thermodynamics, near-interface micro- and nanoscale thermophysics and transport in liquid-vapor systems, computational modeling and simulation of energy conversion and transport processes at scales ranging from the molecular level to the device and system level, use of machine learning to enhance energy technology research and the efficiency of energy conversion and transport in applications, and use of machine learning to create next-generation energy technologies that autonomously adapt to maximize their performance and reduce their environmental impact .
Jose M. Carmena Division of Electrical Engineering/EECS Helen Wills Neuroscience Institute brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control