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Faculty Directory

Suchi Saria, PhD

Center for Population Health Information Technology

Assistant Professor

Departmental Affiliation(s):

Krieger School of Arts and Sciences (Primary)
Health Policy and Management (Joint)

Personal website : www.suchisaria.com

Education

PhD , Stanford University
MSc , Stanford University

Overview

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.

 

Honors and Awards

 

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