Suchi Saria

Early life and education Saria is from Darjeeling. She earned her bachelor's degree at Mount Holyoke College. She was awarded a full scholarship from Microsoft. In 2004 she joined Stanford University as a Rambus Corporation Fellow. degrees at Stanford University, supervised by Daphne Koller and advised by Anna Asher Penn and Sebastian Thrun. At Stanford University, Saria developed a statistical model that could predict premature baby outcomes with a 90% accuracy. The model used data from monitors, birth weight and length of time spent in the womb to predict whether a preemie would develop an illness. She worked in the startup Aster Data Systems.

Career and research Saria believes that big data can be used to personalise healthcare. She is considered an expert in computational statistics and their applications to the real world. The project used data collected at patients' bedsides along with noninvasive 3D sensors that monitor care in patient's hospital rooms. The sensors collect information on steps that might have been missed by doctors; like washing hands. She is part of a National Science Foundation (NSF) award that looks at scleroderma. She uses machine learning to analyse medical records and identify similar patterns of disease progression. The algorithm used 16,000 items of patient health records and generates a targeted real-time warning (TREWS) score. She collaborated with physicians to use the algorithm in clinics, and it was correct 86% of the time. Saria modified the algorithm to avoid missing high risk patients- for example, those who have suffered from septic shock previously and who have sought successful treatment. She was described by XRDS magazine as being a Pioneer in transforming healthcare. In 2016 Saria spoke at about using machine learning for medicine at TED xBoston. The talk has been viewed over 100,170 times.

Awards and honours Her awards and honors include: 2018 Sloan Research Fellowship 2018 World Economic Forum Young Global Leader 2017 Defense Advanced Projects Research Agency (DARPA) Young Faculty Fellowship 2016 Brilliant 10 award by Popular Science 2015 IEEE Intelligent Systems Young Star in Artificial Intelligence 2015 Johns Hopkins Discovery Award 2014 National Science Foundation (NSF) Smart and Connected Health Research Grant 2014 Google Research Award 2014 Society of Critical Care Medicine Annual Scientific Award 2013 Gordon and Betty Moore Foundation Research Award