Research Ecosystem

BCBI is embedded within an extraordinary ecosystem of centers, initiatives, and institutes spanning fundamental biology, biotechnology, therapeutic development, and human health. At UC Berkeley, the Innovative Genomics Institute advances genome engineering, including CRISPR technologies, toward accessible solutions in human health, while the Molecular Therapeutics Initiative brings together disease biology, chemistry, structural biology, data science, and biotechnology to develop new therapeutic modalities and tackle challenging disease targets. At UCSF and Gladstone, complementary institutes address major frontiers in human health: the Bakar Aging Research Institute seeks to understand the molecular and cellular basis of aging and develop approaches to promote healthier lives; the Bakar Ear and Hearing Institute will integrate scientists and clinicians to advance understanding and treatment of hearing and balance disorders; and the Gladstone-UCSF Genomic Immunology Institute combines immunology, human genetics, genome engineering, and synthetic biology to understand and engineer the human immune system.

These efforts extend from fundamental mechanisms to patient care and population health. The Helen Diller Family Comprehensive Cancer Center at UCSF integrates basic science, clinical research, population science, and patient care to understand cancer and translate discoveries into improved prevention, diagnosis, and treatment. The Bakar ImmunoX Initiative creates a collaborative community around the immune system, using shared technologies, infrastructure, and data to enable discoveries in one disease area to inform others. The Bakar Computational Health Sciences Institute develops data-science expertise and infrastructure to support precision medicine and human-health research. Together, these units provide BCBI with an exceptional landscape of biological questions, experimental technologies, biomedical data, and clinical challenges—creating opportunities for computational researchers to work directly with experimentalists and clinicians to develop new AI, statistical, and computational approaches that accelerate the pipeline from discovery to human health impact.

BCBI will complement its scientific community with BioJupyter, an open computational platform designed to make collaborative, reproducible research across institutions and shared biomedical datasets easier and more seamless. By integrating modern AI capabilities with infrastructure for secure data sharing and analysis, BioJupyter will help researchers overcome common computational bottlenecks and accelerate discovery across the BCBI ecosystem.