• We Are Recruiting!

    Jingjing Li, Ph.D.

    Principal Investigator

    Assistant Professor

    Department of Neurology, School of Medicine

    the Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research

    the Bakar Computational Health Sciences Institute

    the Parker Institute for Cancer Immunotherapy

    University of California, San Francisco


    My predoctoral training was in machine learning, and received Ph.D. in Molecular Genetics from the University of Toronto. I joined Dr. Michael Snyder's group at Stanford Genetics as a Banting Postdoctoral Fellow, where I developed multi-omics strategies to identify molecular components in complex human diseases. I later received training in clinical research as an Instructor at Stanford Pediatrics, where I developed genomic approaches to solve neonatal conditions.


    The main theme of my research is large-scale analysis of disease genomes by integrating multi-omics data, evolutionary insights, electronic health records, as well as digitized clinical traits from imaging and wearable sensor readouts. The ultimate goal is to build a data-driven framework to detect diseases before symptoms emerge and to achieve precision health management.

  • Lab Members

    Let's whistle while we work 🥳

    Yuejun Wang, Ph.D.

    Postdoc Fellow

    Yuejun received her Ph.D. from University of Chinese Academy of Sciences (Genetics). Her research interest is in computational biology and epigenomics. Her research is focused on integrative analysis of disease genomes.

    Cheng Wang, Ph.D.

    Postdoc Fellow

    Cheng received Ph.D. from the National University of Singapore working on elucidating the regulation of pre-mRNA splicing in breast cancers. At UCSF, his research is focused on cancer genomics. His research direction involves integrating the genomic and clinical big data in cancer research using machine learning approaches.

    Maggie Tsui, B.Sc.

    Ph.D. student

    Maggie is a PhD student in the Biological and Medical Informatics program at UCSF, co-mentored by Franklin Huang. She is interested in developing machine learning methods to improve precision oncology. She aims to identify new targets in localized and metastatic prostate cancer, as well as characterize molecular differences between tumors of African and European genetic backgrounds.