Overview
CCB combines the research strengths and interests of over 40 faculty from fourteen different departments and five colleges, each among the best in the world, to provide unparalleled opportunities for innovative foundational and applied research and learning at the interface of computation and biology.
As further detailed below, our faculty's expertise and research interests span the full spectrum of computational biology—from developing AI and machine learning methods for diverse biological problems, to statistical frameworks for evolutionary inference and population genomics, to single-cell and spatial transcriptomics analysis, to clinical genome interpretation and precision medicine. Research encompasses computational approaches to understanding gene regulation and RNA biology, developing algorithms for variant interpretation and disease prediction, applying deep learning to biological sequence analysis, studying immune-metabolic dysregulation and microbiome-host interactions, engineering disease-resistant crops through comparative genomics, modeling population dynamics and ecological responses to climate change, creating tools for drug discovery and therapeutic protein design, and building frameworks that connect molecular measurements to patient health outcomes.
Our program is uniquely positioned given the individual expertise and highly collaborative nature of our faculty and fellows. Since our faculty are drawn from diverse departments and colleges across campus, we have access to a wealth of campus resources and state-of-the-art facilities for single-cell genomics, cryo-EM imaging, high-throughput sequencing, CRISPR genome editing, spatial transcriptomics, and computational infrastructure.
Our faculty direct, are affiliates of, or have created numerous research centers and institutes related to computational biology and genomics. A non-exhaustive list of research centers and institutes related to computational biology and genomics at UC Berkeley can be found here.