Natasha K. Stout, Ph.D., is an Associate Professor in Population Medicine at the Harvard Medical School. Her research focuses on the use of decision-analytic modeling methods combined with analysis of real-world electronic health data to better understand how existing and emerging medical technologies are implemented and used to their fullest capacity to improve population health. She has particular expertise in breast cancer screening policy design and evaluation. Since its inception in 2000, Natasha has been participating in the National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET), a collaboration of independent modeling teams formed to address unresolved policy questions in cancer control. Her methodological interests are in the development and calibration of population-based discrete-event simulation models of disease. Natasha is active in the Society for Medical Decision Making and is a past President of the Society. Dr. Stout received a B.A. in Mathematics from Oberlin College, and an M.S. in Industrial Engineering focusing on Operations Research and Decision Science and Ph.D. in Population Health Sciences from the University of Wisconsin. Prior to her Ph.D., she worked at Epic Systems on the development of healthcare information software.