- We Are Recruiting!
Principal Investigator
Associate 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 single cell analysis of complex diseases, including neurogenomics and maternal-fetal medicine. His research direction involves integrating genomic and clinical big data 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.
Zhida Luo, Ph.D.
Postdoc Fellow
Zhida received his Ph.D. from Sun Yat-sen University. At UCSF, he develops experimental and computational approaches to study complex human diseases.
Tianzhu Wu, Ph.D.
Postdoc Fellow
Tianzhi received Ph.D. from Southern Medical University. At UCSF, his research focuses on utilizing single-cell techniques and machine-learning models to gain a deeper understanding of complex biological processes and diseases.
Tianqi Tang, Ph.D.
Postdoc Fellow
Tianqi received his Ph.D. From the University of Southern California in Computational Biology and Bioinformatics, focusing on machine learning and its metagenomics applications. At UCSF, he develops computational tools for single-cell multi-omics data analysis to gain deeper insights into complex diseases and precision medicine.
Ryan Wu
Undergraduate Researcher
Ryan is an undergraduate studying bioengineering at UC Berkeley. He is interested in studying computational biology and genomics to investigate complex human diseases, especially those pertaining to the brain.
