Hugh brings the drive and vision to generate actionable hypotheses in biomedicine from complex, data-rich challenges to understand drugs and diseases. At Knowledge Synthesis Hugh leads customer project research by exploiting Computational Biology and Bioinformatics with an emphasis on implementing statistical pathway analysis for biomedical discovery. He earned his Ph.D. in Biophysics at U.C. Berkeley and completed his post-doctoral training at Stanford Medical School. Hugh has a decade of experience in the pharmaceutical industry, has built and led a Computational Biology department within a major pharmaceutical company, and has provided services as a contract researcher to non-profits, small pharma, and big pharma. His work in quantitative biology and data visualization has been applied broadly across biological research. Hugh's published research includes work in tuberculosis genomics, proteomics, and epidemiology, multiple sclerosis and interferons, and antigen-presenting protein evolution.
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