Jose Zubizarreta, PhD, is an Associate Professor in the Department of Health Care Policy (HCP) at Harvard Medical School and a Faculty Affiliate in the Department of Statistics at the Faculty of Arts and Sciences at Harvard University. His work centers on the development of statistical methods for causal inference and impact evaluation to advance research in health care and public policy. In his methodological work, Dr. Zubizarreta uses tools from modern optimization to develop new methods for causal inference as design-based alternatives to commonly used regression methods. In his health care work, he is interested in assessing the quality of care provided by hospitals and physicians using health outcomes and operations measures. His research interests also encompass comparative effectiveness research and health program impact evaluation. Dr. Zubizarreta received his PhD in statistics at The Wharton School at the University of Pennsylvania in 2013. Before joining HCP, Dr. Zubizarreta was an assistant professor in the Division of Decision, Risk, and Operations and the Department of Statistics at Columbia University. For more information of Dr. Zubizarreta’s research, please use the links to the right of this website.