Research

My research can be broadly defined as applying rigorous analytical methods to examine important applied policy issues.

Over my career, I have received over $20 million in external funding and have been supported by a wide variety of policy stakeholders to include the Centers for Medicare and Medicaid Services, National Institutes of Health, NASA, Department of Homeland Security, U.S. Department of Defense, as well as several private foundations and not-for-profit organizations.

Much of my research has examined health policy through the lens of medical imaging, and I have been selected as a Semi-finalist or Finalist for Most Influential Radiology Researcher multiple times by Aunt Minnie, the leading radiology trade publication.

My current research focuses on the roles of technology, medical reimbursements, and incentives in the delivery and usage of health care services – with a specific focus on using big data analytics, such as AI and machine learning, and causal inference methods to understand contemporary health policy issues.