Suchi Saria is the John C. Malone Associate Professor of computer science, statistics and health policy, the Director of the Machine Learning and Healthcare Lab, and the founding Research Director of the Malone Center for Engineering in Healthcare at Johns Hopkins. She is also the founder of Bayesian Health, an AI platform company building workflow-integrated clinical AI tools for improving health outcomes. Her research focuses on developing next generation diagnostic and treatment planning tools that leverage statistical methods to individualize care. Towards this, her methodological work focuses on questions such as: How can we support decision-making in safety-critical domains? How can we combine different sources of information with prior knowledge to derive actionable and trustworthy inferences? How can we characterize and improve reliability of the resulting inferences in challenging real-world settings? On the translational front, her work first demonstrated the use of machine learning to make early detection possible in sepsis, a life-threatening condition (Science Trans. Med. 2015). In Parkinson’s, her work showed a first demonstration of using readily-available sensors to easily track and measure symptom severity at home, to optimize treatment management (JAMA Neurology 2018).
She is passionate about scaling innovations in healthcare delivery and is an active advisor to groups innovating on this front including Scripps Research Translational Institute, Patient Ping (enabling care coordination through real-time data) and Duality Technologies (building privacy-sensitive ML). Her work has received recognition in various forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015), the DARPA Young Faculty Award (2016), MIT Technology Review’s ‘35 Innovators under 35’ (2017), the Sloan Research Fellowship (2018), National Academy of Medicine’s Emerging Leaders in Health and Medicine (2018), and the World Economic Forum Young Global Leader (2018). In 2017, her work was among four research contributions presented by Dr. France Córdova, Director of the National Science Foundation to Congress’ Commerce, Justice Science Appropriations Committee. She is on the editorial board of multiple journals including the flagship AI journal—the Journal of Machine Learning Research. Saria joined Hopkins in 2012. Prior to that, she received her PhD from Stanford University working with Prof. Daphne Koller.