John Hopkins University
She is a pioneer at the intersection of machine learning and healthcare. Her work has led to new approaches that combine diverse sources of data to enable individualized care. In sepsis, a life-threatening condition, she demonstrated methods that make early detection possible. 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. Her work has won numerous awards including the prestigious Sloan Fellowship, DARPA Young Faculty Award, MIT Tech Review’s “35 Innovators under 35”, World Economic Forum’s Young Global Leader, and selection by the National Academy of Medicine as an Emerging Leader in Health and Medicine.