Director of Research Strategy
Professor, Health Metrics Sciences
Prof. Simon Iain Hay
DPhil, DSc, FMedSci
Simon I. Hay is a Professor in the Department of Health Metrics Sciences in the School of Medicine at the University of Washington, and Director of Research Strategy at the Institute for Health Metrics and Evaluation (IHME). His career has focused on spatial and temporal aspects of infectious disease epidemiology to support the more rational implementation of disease control.
As Director of Research Strategy, Prof. Hay leads the strategic planning for research across IHME, primarily through developing an integrated portfolio of work that best presents the continued innovation and results of the Institute’s annually produced global public goods. He guides IHME’s geospatial research, leading work to identify common problems, solutions, and innovations in local disease burden and small area estimation. He also fosters strategic partnerships with inter-governmental organizations, government agencies, and other key user groups.
Prof. Hay obtained his doctorates from the University of Oxford where he remains a member of congregation. He has published >500 peer-reviewed and other contributions, including two research monographs; these are cited collectively more than 14,000 times each year, leading to an h-index of >143 and >100,000 lifetime citations.
Prof. Hay was awarded the Scientific Medal (2008) of the Zoological Society of London and the Back Award (2012) of the Royal Geographical Society for research contributing to public health policy. He has also been awarded the Bailey K. Ashford Medal (2013) of the American Society of Tropical Medicine and Hygiene (ASTMH) and the Chalmers Memorial Medal (2015) of the Royal Society of Tropical Medicine and Hygiene (RSTMH), both for exceptional contributions to tropical medicine. Most recently, he was awarded the “10 to End” innovator prize in 2019 from Malaria no More (https://www.malarianomore.org). The prize is presented for innovation helping to make the end of malaria possible in our lifetimes; specifically using “big data” and geospatial science to work to end malaria and other diseases.