Big Data in Infectious Diseases
Peter Doherty Institute
This half day symposium features local and international experts who have developed innovative new ways to translate “big data” in various forms into tools that help us to understand the spread, impact and future threats of infectious diseases, ranging from malaria to Ebola, influenza and antibiotic resistance. The use of “big data” by policy makers in Australia (including Indigenous communities) and internationally in guiding treatment or prevention policies will be discussed by Professor Carol Sibley, a Professor of Genome Sciences at the University of Washington in Seattle, Washington.
Professor Carol Sibley, Professor of Genome Sciences at the University of Washington in Seattle, Washington
Professor Carol Sibley
Professor of Genome Sciences at the University of Washington in Seattle, Washington
University of Washington in Seattle, Washington
Dr. Sibley is a Professor of Genome Sciences at the University of Washington in Seattle, Washington and a Visiting Professor of Tropical Medicine at the University of Oxford, UK where she is the Scientific Director of the WorldWide Antimalarial Resistance Network. In her malaria research she has collaborated closely with colleagues in the KEMRI/Wellcome Trust Research Laboratories in Nairobi and Kilifi, Kenya and with colleagues in Muheza and Morogoro, Tanzania. She has served on the Expert Scientific Advisory Board of the Medicines for Malaria Venture, and on the Boards of the ACT Consortium, the Malaria Capacity Development Consortium, the MalawiLiverpool Wellcome Trust Clinical Research Programme and several of the NIH funded International Centers of Excellence in Malaria Research. She holds a Bachelor and Masters of Science in Biology from the University of Rochester in New York, a PhD in Biochemistry and Biophysics from the University of California, San Francisco and completed postdoctoral training at the California Institute of Technology in Pasadena, California.