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.
Let's whistle while we work 🥳
Yuejun Wang, Ph.D.
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.
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.