Dr. Nigam Shah

Professor

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Biography

Nigam H. Shah is a Professor of Medicine, specializing in Biomedical Informatics and Biomedical Data Science at Stanford University. He is also the Chief Data Scientist at Stanford Health Care. His research group focuses on the analysis of various health data types, including Electronic Health Records, claims data, wearables, and social media, to derive clinical insights and build predictive models. Dr. Shah's expertise lies in advancing scientific understanding of diseases and enhancing clinical practices through artificial intelligence and data science. He has contributed significantly to the field with over 200 scientific publications and holds eight patents in health informatics. His roles include co-directorship of the Center for Artificial Intelligence in Medicine & Imaging and membership in various academic committees. He has received multiple honors, including Fellowships from the American College of Medical Informatics and the American Society for Clinical Investigation. He completed his MBBS at Baroda Medical College in India, followed by a PhD from the Pennsylvania State University.

Research Interests

Experience

Professor

— Present

Stanford University • Palo Alto, CA

Professor in the Department of Medicine focused on Biomedical Informatics.

Chief Data Scientist

— Present

Stanford Healthcare • Palo Alto, CA

Leading data science efforts in healthcare.

Awards

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Fellow

2015-11-01
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New Investigator Award

2013-11-01
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Biosciences Faculty Award

2012-06-01
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Fellow

2016-04-01
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Ramoni Paper Award

2013-03-01
#

Distinguished Paper Award

2011-03-01
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Outstanding Paper Award

2009-03-01
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Outstanding Paper Award

2008-03-01

Courses

CIM 213 BMDS 215 BMDS 284 BIOE 191 BMDS 295 BMDS 299 MED 299 MED 280 MED 399 BMDS 370 MED 370 MED 199 BIOMEDIN 215 BIOMEDIN 225

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.