Center for Population Health Information Technology
Health Policy and Management
Krieger School of Arts and Sciences (Primary)
Personal website : www.suchisaria.com
PhD, Stanford University
MSc, Stanford University
Patient Safety, ICU Informatics, Methods for Electronic Medical Record data, Risk prediction, Modeling Health Trajectories, Effects of interventions, Methods for a Learning Health System, Computational sensors, Policy related to evaluation and absorption of predictive models in clinical care.
2011 NSF Computing Innovation Fellowship National Science Foundation and the Computing Research Association 1/20 awarded across all computing and computing-related areas nationally. 2010 Best Student Paper, finalist American Medical Informatics Association (AMIA) Paper titled “Extracting Patient Outcomes from Structured and Free-text data” 2010 Cover Article Science Translational Medicine Paper titled “Integration of Early Physiological 3 Responses Predicts Later Illness Severity in Preterm Infants” 2007 Best Student Paper Uncertainty in Artificial Intelligence Paper titled “Reasoning at the Right Time Granularity” 2004-2009 Rambus Graduate Fellowship Rambus Corporation awarded through Stanford University 2004 Mary Lyon Scholar Mount Holyoke College 2003 Microsoft Full Scholarship (declined) Microsoft Corporation 2002 Microsoft Full Scholarship Microsoft Corporation 2013 Gordon and Betty Moore foundation award 2011 NSF Computing Innovation Fellowship (20 awarded across all computing and computing-related areas nationally) 2010 Best Student Paper finalist, American Medical Informatics Association (AMIA). Paper titled “Extracting Patient Outcomes from Structured and Free-text data” 2010 Cover Article in Science Translational Medicine. Paper titled “Integration of Early Physiological3Responses Predicts Later Illness Severity in Preterm Infants” 2007 Best Student Paper in Uncertainty in Artificial Intelligence. Paper titled “Reasoning at the Right Time Granularity” 2004-2009 Rambus Corporation fellowship awarded through Stanford University 2002,2003 Won the Microsoft Full Scholarship twice.
Big data analytics, machine learning, informatics, patient safety and quality, multimorbidity, mhealth, predictive modeling, ICU informatics