3/10/17: A.I. can predict whether you have sepsis before doctors even know it, CS’ Suchi Saria, Inverse Suchi Saria, assistant professor of computer science, discusses her research in using machine learning algorithms to tailor treatment and improve outcomes for clinical patients. Read more at Inverse Innovation. Suchi Saria holds a secondary appointment in the Department of Applied Mathematics and Statistics in the Whiting School and a joint appointment in the Department of Health Policy and Management in the Johns Hopkins Bloomberg School of Public Health. She is affiliated with the Institute for Computational Medicine, the Laboratory for Computational Sensing and Robotics, the Armstrong Institute for Patient Safety and Quality, the Center for Population Health Information Technology, and the Center for Language and Speech Processing.