Suchi Saria

Suchi Saria is an assistant professor of computer science, health policy, and statistics at Johns Hopkins University. Her research interests are statistical machine learning and “precision” healthcare—specifically designing novel data-driven computing tools for optimizing care delivery. Her work is being used to drive electronic surveillance for reducing adverse events in the inpatient setting and to individualize disease management in complex, chronic diseases. Suchi’s work has been recognized in Science Translational Medicine, by paper awards by the the Association for Uncertainty in Artificial Intelligence and the American Medical Informatics Association, an Annual Scientific Award by the Society of Critical Care Medicine, and competitive awards from the Gordon and Betty Moore Foundation and Google Research, and with a Rambus fellowship and an NSF Computing Innovation fellowship. She has been selected by IEEE Intelligent Systems as one of 2015’s AI’s 10 to watch, a 2016 DARPA Young Faculty awardee, and one of Popular Science’s 2016 brilliant 10. Suchi holds a PhD from Stanford University, where she worked under Daphne Koller.