She received her PhD at Stanford with Professor Daphne Koller. Her research interests are in machine learning and statistical inference techniques geared towards leveraging electronic health data for improving healthcare delivery. Her work on risk prediction in infants has been licensed by Nihon Kohden, one of the largest monitoring companies in Japan. Her work has been recognized by awards including, two cover articles in Science Translational Medicine (Science/AAAS Press) including one on her recent work in sepsis, a Best Student Paper by the Association of Uncertainty in AI, a Best Student Paper finalist by the American Medical Informatics Association, a Google Research award, the Rambus Fellowship, the Microsoft scholarshop and the National Science Foundation Computing Innovation Fellowship.