“I ground a lot of the work I’m doing in the mindset of patients who are going to have the most challenging time using these services, because in general, that’s not who these systems are designed for.”
Mark Sendak is the Population Health & Data Science Lead at DIHI and helps lead interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems. Together with the DIHI team, he has integrated dozens of data-driven technologies into clinical operations at Duke Health. He leads the DIHI Clinical Research & Innovation scholarship, which equips medical students with the business and data science skills required to lead health care transformation efforts.
His work has been published in technical venues and clinical venues, such as Machine Learning for Healthcare, Nature Medicine, Plos Medicine, and JAMA Open. He is an organizer of the annual Machine Learning for Healthcare conference and loves partnering across boundaries to tackle hard problems. He completed his Bachelor’s of Science in Mathematics at UCLA and an MD and MPP at Duke University.