Philip Bourne serves as the associate director of data science at the National Institutes of Health and specializes in research and other activities that drive the accessibility of scientific data to aid the national biomedical community.
His work covers areas such as machine learning, text mining, metalanguages and visualization in support of systems pharmacology, immunology, scientific dissemination and similar programs.
Before joining NIH in 2014, Bourne worked at the University of California in San Diego as associate vice chancellor for innovation and industry alliances and a professor in the pharmacology department and Skaggs School of Pharmacy and Pharmaceutical Sciences.
He also served as associate director of the RCSB Protein Data Bank and adjunct professor at the Sanford Burnham Institute and co-founded ViSoft, Protein Vision, SciVee and the PLOS Computational Biology journal.
Bourne is an elected fellow at the American Association for the Advancement of Science, American Medical Informatics Association and International Society for Computational Biology.