6. Machine Learning Driven Targeted Real-Time Early Warning System Improves Outcomes in Sepsis
Session: Symposium: Machine Learning and Modeling in Infectious Diseases
Wednesday, October 3, 2018: 2:05 PM
Room: S 214-216
Suchi Saria, PhD, Johns Hopkins University, Baltimore, MD

Dr. Suchi Saria is the John C. Malone assistant professor of health system informatics at the Johns Hopkins University School of Medicine, computer science at the Whitings School of Engineering, and of health policy and management at the Bloomberg School of Public Health. She is the Director of the Machine Learning, AI and Healthcare Lab and the founding Research Director of the Malone Center for Engineering in Healthcare at Hopkins. Her research has pioneered the development of next generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. In sepsis, a life-threatening condition, her work first demonstrated the use of machine learning to integrate diverse signals to make early detection possible (Science Trans. Med. 2015). In Parkinson's, her work showed a first demonstration of using readily-available sensors to easily track and measure symptom severity at home, which can serve to optimize treatment management (JAMA Neurology 2018). Her work has received recognition in numerous forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015), the DARPA Young Faculty Award (2016), MIT Technology Review’s ‘35 Innovators under 35’ (2017), the prestigious Sloan Research Fellowship (2018), and the World Economic Forum Young Global Leader (2018). She was invited to join the National Academy of Engineering’s Frontiers of Engineering in 2017 and more recently to the National Academy of Medicine’s Emerging Leaders in Health and Medicine. Dr. Saria received her undergraduate degree from Mt. Holyoke College. She earned her M.Sc. and Ph.D. from Stanford University working with Prof Daphne Koller. She visited Harvard University for a year as a NSF Computing Innovation fellow. Dr. Saria joined the Johns Hopkins faculty in 2012.


Disclosures:

S. Saria, Bayesian Health: Shareholder , Licensing agreement or royalty .

Findings in the abstracts are embargoed until 12:01 a.m. PDT, Wednesday Oct. 3rd with the exception of research findings presented at the IDWeek press conferences.