Suchi Saria, Ph.D Closed Now

Dr. Suchi Saria is a globally recognized scientist and entrepreneur at the forefront of applying machine learning and AI to health data systems. She is the Founder and CEO of Bayesian Health, a company dedicated to deploying real-time AI solutions in hospitals to improve patient safety and outcomes. In parallel, she is the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University, where she is also a Professor in Computer Science, Statistics, and Health Policy.

Saria’s research and business ventures center on the use of electronic health record (EHR) data and other clinical datasets to identify early warning signals for critical conditions such as sepsis, complications in pregnancy, and chronic disease progression. Her landmark work demonstrated how AI models could detect sepsis hours earlier than traditional clinical methods, potentially saving thousands of lives annually.

At Johns Hopkins, she leads a multidisciplinary team working on trustworthy AI frameworks, focusing on safety, generalizability, and fairness of predictive models in healthcare. Her company, Bayesian Health, builds on this research by integrating predictive algorithms into clinician workflows, ensuring that data-driven alerts are both actionable and reliable.

Beyond her scientific contributions, Saria is a well-regarded voice in discussions about AI regulation, ethical health data use, and healthcare transformation. She has advised the U.S. National Academy of Medicine and served on numerous boards shaping the future of health data science. Named by Forbes and Fortune as a leading innovator, she bridges academic rigor with entrepreneurial execution.