Mark Sendak, MD, MPP is the Population Health & Data Science Lead at the Duke Institute for Health Innovation (DIHI), where he leads interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems. He has built tools to support Duke Health’s adult high-utilizer program, chronic disease management within an Accountable Care Organization, and inpatient deterioration management within Duke Health hospitals. Together with his team, he has integrated nearly a dozen data-driven technologies into clinical operations at Duke Health and is a co-inventor of software licensed from Duke to scale machine learning applications. He leads the DIHI Clinical Research & Innovation scholarship, which equips medical students with the business and data science skills required to work on interdisciplinary teams to build data science technologies. His work has been published in technical venues such as the Journal of Machine Learning Research and clinical journals such as Plos Medicine, Nature Medicine, eGEMs, and Journal of Applied Clinical Informatics. He obtained his Bachelor’s of Science in Mathematics from UCLA.