Research SummaryIn April 2015, I became the new Director of the Institute for Computational Health Sciences at the University of California, San Francisco, with the role of recruiting new computational-related faculty to UCSF.
My prior decade was spent at Stanford University, where I developed my career from Assistant to Full Professor and Division Chief, by developing and using bioinformatics methods to integrate, leverage, and reason over genomic, genetic, phenotypic, and other sources of molecular data to yield tools for physicians and patients. Example of this method includes work on cancer drug discovery (PNAS, 2000), type 2 diabetes (PNAS, 2003), fat cell formation (Nature Cell Biology, 2005), obesity (Bioinformatics, 2007), and transplantation (PNAS, 2009). To facilitate this, we have developed tools for indexing public genomic data sets (Nature Biotechnology, 2006), re-mapping microarray data (Nature Methods, 2007), and in cloud-computing (Nature Biotechnology, 2010). We also develop novel methods to explore human physiology using electronic health record data (Science, 2008), and in the medical risk estimation from whole genomes (Lancet, 2010).
My research lab currently has 3 graduate students, 5 post-doctoral research fellows, and 3 staff members. I have successfully administered multiple research projects, including the NIAID ImmPort data archival repository, collaborated with many other researchers around the world, and continue to produce many peer-reviewed publications from each project. As a result, I am aware of the importance of frequent collaboration and communication among project members and of constructing realistic research plans, timelines, and budgets. In summary, I have a demonstrated record of successful and productive research projects, and my expertise and experience have prepared me to participate in the proposed project.