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Suchi Saria, PhD

  • Center for Population Health Information Technology
  • Assistant Professor

Departmental Affiliations

Contact Information

624 N. Broadway
Hampton House 502
Baltimore, Maryland 21205

408-205-8035

Personal website: http://www.suchisaria.com

Education

PhD, Stanford University, 2011
MSc, Stanford University, 2011

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