Associate Director Data Science (ADDS)
National Institutes of Health
About the Webinar
Big Data is an overused term, but it does speak to a break from the past in the amount and complexity of data being gathered and analyzed, as well as in the methods applied to that data. How disruptive will Big Data be in the long run to biomedical research and health care?
Dr. Bourne addresses this question in light of the Big Data to Knowledge (BD2K) initiative and other trans-NIH data science programs.
About Philip E. Bourne
Dr. Bourne is the Associate Director for Data Science (ADDS) at the National Institutes of Health (NIH). In that role, he sets a vision for and oversees Data Science, including the sharing and sustainability of data and tools.
Dr. Bourne’s research focuses on biological and educational outcomes derived from computation and scholarly communication through algorithms, text mining, machine learning, meta-languages, biological databases, and visualization applied to problems in systems pharmacology, evolution, cell signaling, apoptosis, immunology, and scientific dissemination.
Before coming to the NIH, Dr. Bourne was at the University of California, San Diego. He co-founded 4 companies, co-founded and was founding Editor-in-Chief of the open access journal PLOS Computational Biology, and served as a President of the International Society for Computational Biology.
Dr. Bourne is an elected fellow of the American Association for the Advancement of Science (AAAS), the International Society for Computational Biology (ISCB), and the American Medical Informatics Association (AMIA). He was awarded the Jim Gray eScience Award (2010), the Benjamin Franklin Award (2009), the Flinders University Convocation Medal for Outstanding Achievement (2004), the Sun Microsystems Convergence Award (2002), and the CONNECT Award for new inventions (1996 & 1997).