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Suchi
Saria
,
PhD

Assistant Professor
Suchi Saria

Departmental Affiliations

Whiting School of Engineering
Primary

Contact Info

624 N. Broadway, Hampton House 502
Baltimore
Maryland
21205
US        

Research Interests

Big data analytics, machine learning, informatics, patient safety and quality, multimorbidity, mhealth, predictive modeling, ICU informatics

Experiences & Accomplishments
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 & 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.