I am a Postdoctoral Research Fellow at Harvard Medical School and Harvard Pilgrim Health Care Institute. My research addresses weighting tradeoffs among costs, benefits, and risks in cancer prevention and treatment policies, and designing and prioritizing clinical research when resources are limited. The methods I use to answer these research questions include disease simulation modeling, cost-effectiveness analysis, and a value of information (VOI) analysis. In my PhD work, I formalized an iterative decision-making framework in health and medicine that propagated the principles of evidence-based medicine and highlighted the importance of iteration in the process of medical decision making. For my post-doctoral training, I am focusing on gaining new skills and expertise in the area of genomics and precision medicine. More specifically, I joined the Precision Medicine Treatment (PreEMPT) Modeling team that works on simulating short- and long-term clinical benefits and estimating the cost-effectiveness of integrating different genome screening strategies into clinical care for healthy or high-risk newborns for a wide variety of heritable conditions.
I am also a Research Affiliate at the Yale University School of Public Health and a founding member of the Collaborative Network for Value of Information (ConVOI). I completed my PhD in Health Economics and Health Policy at the University of Oslo, Norway, and was a Postgraduate Research Fellow at Yale University School of Medicine and a Visitng PhD Candidate at Yale School of Public Health. Prior to ,y PhD, I worked as a Senior Health Economist in Norway, developing and adapting decision-analytic models and preparing Health Technology Assessment (HTA) applications predominantly in cancer in collaboration with the Norwegian Medicines Agency.