Suchi Saria, PhD is the founder and president of Bayesian Health, a clinical AI platform company that augments care teams by bringing together state of the AI/ML technology combined with responsible AI best practices to dramatically improve quality while saving clinicians' time. She is also an AI Professor at Johns Hopkins where she holds the John C. Malone endowed chair and is the Director of AI and health lab.

Dr. Saria’s work in AI over the last two decades has led to foundational advances in the technology, best practices around translation, and AI policy. She has written several seminal papers in AI/ML around issues of learning robust models, detecting drifts, monitoring and learning from messy real-world datasets. Her applied research has built on these technical advances to develop novel next generation diagnostic and treatment planning tools that use AI/ML to individualize care. Her work has been funded by leading organizations including the NSF, DARPA, FDA, NIH and CDC and she regularly serves as a scientific advisor to leading Fortune 500 companies.

Dr. Saria completed her PhD in AI at Stanford, her BSc in Physics, Computer Science and Statistics at Mount Holyoke. She’s a Sloan Research Fellow, named by IEEE to “AI’s 10 to Watch”. Modern Healthcare’s Top 25 Innovators, World Technology Forum’ Technology Pioneer, and her work was recognized as one of TIME’s Best Inventions in 2023. She is on the editorial board of the Journal of Machine Learning Research and serves on the National Academy of Medicine AI Code of Conduct.