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
Lisa Barcellos Berkeley Public Health public health, genetic epidemiology, human genetics, autoimmune diseases, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology
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
Sandrine Dudoit Dept of Statistics statistics, applied statistics, data science, statistical computing, computational biology and genomics
Ian Holmes Dept of Bioengineering computational biology, molecular evolution, computational genomics, Systems and Synthetic Biology
Alan Hubbard Berkeley Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
John Huelsenbeck Dept of Integrative Biology computational biology, evolutionary biology, phylogenetics
Nilah Ioannidis Division of Computer Science/EECS computational biology, genomics, machine learning, artificial intelligence, personal genome interpretation, precision health, rare diseases, statistical genetics, biophysics
Michael Jordan Dept of Statistics Division of Computer Science/EECS computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Lexin Li Berkeley Public Health neuroimaging data analysis, networks data analysis, personalized recommendation, statistical genetics, computational biology, dimension reduction, variable selection, high dimensional regressions, statistical machine learning, data mining, computational statistics
Chunlei Liu Division of Electrical Engineering/EECS Helen Wills Neuroscience Institute brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing
Mohammad Mofrad Dept of Bioengineering Dept of Mechanical Engineering Molecular Cell Biomechanics; Bacterial Communities and Microbiomes; Deep Learning for Biology and Medicine; Cardiovascular Disease
Rikky Muller Division of Electrical Engineering/EECS integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Stuart J. Russell Division of Computer Science/EECS artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Kimmen Sjolander Dept of Bioengineering computational biology, algorithms, phylogenetic tree reconstruction, protein structure prediction, multiple sequence alignment, evolution, bioinformatics, hidden Markov models, metagenomics, statistical modeling, phylogenomics, emerging and neglected diseases, machine learning, genome annotation, metagenome annotation, systems biology, functional site prediction, ortholog identification
Yun S. Song Dept of Statistics Division of Computer Science/EECS computational biology, population genomics, applied probability and statistics
Peter Sudmant Dept of Integrative Biology genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics
Grigory Tikhomirov Division of Computer Science/EECS bioengineering, nanofabrication, nanorobotics, biosystems and computational biology, energy, integrated circuits, micro/nano electro mechanical systems, physical electronics
Mark van der Laan Berkeley Public Health Dept of Statistics 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
Noah Whiteman Dept of Integrative Biology Dept of Molecular & Cell Biology adaptation, evolutionary biology, genomics, genetics, toxicology, insect biology, plant biology, microbiology, CRISPR-Cas9 genome editing
Ashley Wolf Berkeley Public Health Dept of Plant and Microbial Biology gut microbiota, metabolism, genomics, host-microbe interactions
Katherine A. Yelick Division of Computer Science/EECS high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology