Biography
David Hutton's research is focused on health policy analysis, in particular the use of mathematical models to assist with the allocation of resources for health. The research is mainly in the area of cost-effectiveness analysis, applied to a wide variety of areas from infectious disease to chronic disease, in the US and internationally. His research and influence on national and international hepatitis B policy earned him the first place prize in the "Doing Good with Good OR student paper competition" from the Institute for Operations Research and Management Science. He has served as a consultant, advisor, and/or collaborator with the World Health Organization, the US Department of Health and Human Services, and the Centers for Disease Control and Prevention.
David Hutton holds a PhD from Stanford's department of Management Science and Engineering with a focus on health policy modeling. Prior to joining Stanford's PhD program, David worked for a consulting company that focused on mathematical modeling and for several Silicon Valley software companies.
- Ph.D., Stanford University
- M.S., Stanford University
- BS, Stanford University
- BA, Stanford University
Research
David Hutton's research interests are in the use of mathematical models to assist with evaluating the overall costs and health effects of interventions in order to inform resource allocation decisions. In particular, he is interested in evaluating interventions with high degrees of uncertainty and exploring how that uncertainty may or may not affect decisions. Interventions with high degrees of uncertainty often means new drugs, devices, or public health policies with limited evidence.
