With an interest in Bayesian and probabilistic modeling approaches, Suchi Saria’s work focuses on addressing the challenges associated with modeling and prediction in complex, real-world temporal systems. Suchi also has a passion for addressing challenges related to the use of data-driven tools for decision-making. As Director of the Machine Learning and Healthcare Lab at Johns Hopkins University, Suchi and her team are working to enable new classes of diagnostic and treatment planning tools for healthcare. These tools are designed to tease out information from datasets that will provide reliable inferences for individualizing care decisions.