Suchi Saria Lab

  • The Suchi Saria Lab, part of the Institute for Computational Medicine, explores topics within the fields of machine learning and computational statistics, with a focus on computational solutions for problems in health informatics. Our team investigates the applications of machine learning and computational statistics to domains where one has to draw inferences from observing a complex, real-world system evolve over time. We use Bayesian and probabilistic graphical modeling approaches to address the challenges that emerge with modeling and prediction in real-world temporal systems.

    Research Areas: mobile health, machine learning, patient safety, informatics, big data

    Principal Investigator

    Suchi Saria, M.Sc., Ph.D.


    Health Sciences Informatics