I am a
at Division of Systems Medicine in the Pediatric Department at Stanford School of Medicine. My research interests focus
on translational bioinformatics, integrating genomic, genetic,
phenotypic and clinical data to identify diagnostics biomarkers,
disease mechanisms and therapeutical drugs.
I have been working on translational bioinformatics from three directions. The first is the medical assessment of whole genome sequences. An example of this was a work published in Lancet (2010). Second, I have been developing methods to integrate and translate various molecular measurements in the public repositories into biomarkers for the diagnosis of disease. An example of this was a work on the identification of new test for transplant rejection published in PLoS Computational Biology (2010), and reported in the GenomeWeb. Another example of this was a work on annotating gene expression data published in Nature Methods (2007). Last, I have been working on the discovery of causal variants, pathway, and mechanism to illustrate human disease through integrative genomics. An example of this was a work on prioritizing disease SNPs using gene expression data published in the Genome Biology (2008), and interviewed by GenomeWeb (2008).
I received my undergradute degree in Chemical Physics from the University of Science and Technology of China in 1994, my M.S. degree in Protein Crystallography and Organic Chemistry from Shanghai Institute of Organic Chemistry of Chinese Academy of Science in 1997, and my Ph.D. degree in bioinformatics from Boston University in 2003. After graduation, I worked as a Scientist at Accelrys (on the Discovery Studio team), a senior computational Biologist at Amgen/Abgenix (on the Antibody Discovery team), and a principal software engineer at Quest Diagnostics Nichols Institute (on the development of novel diagnostic assays).
If you feel like knowing more, here are some photos with my wife and my daughter.
We found that type 2 diabetes genes decline when human migrates out of Africa. Check the report in the Science.