Nigam Shah
Also known as Nigam H. Shah
Nigam Shah is a Stanford professor who develops clinical AI and leads AI and data science at Stanford Health Care. He earned a medical degree at Baroda Medical College in 1999 and a molecular medicine PhD at Pennsylvania State University in 2005, then completed biomedical informatics training at Stanford in 2007. His work included a 2017 deep-learning model for palliative care and a patient-data consultation service created in 2018 that became Atropos Health in 2021. He coauthored the FURM framework for assessing clinical AI in 2024 and MedHELM for evaluating medical language models in 2025. He is Stanford Health Care’s chief data scientist, a role he took in March 2022.
- Now at
- Stanford University
- Works
- 726
- Citations
- 38,394
- h-index
- 85
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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1999–2007
Medical and informatics training
He earns an MBBS in medicine at Baroda Medical College in 1999 and a PhD in molecular medicine at Pennsylvania State University in 2005. He completes postdoctoral training in biomedical informatics at Stanford University in 2007.
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2010
Research with electronic health records
In 2010, he builds a research program to make sense of large amounts of electronic health record data. From 2005 to 2010, he works as a postdoctoral researcher and then a staff scientist at Stanford’s Center for Biomedical Informatics Research, focusing on knowledge representation and software systems.
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June 2015
Mining records for drug risks
As lead author of a study published in June 2015, Shah analyzes electronic health records from nearly 3 million people. The study finds an association between proton-pump inhibitors, used to treat heartburn, and increased heart-attack risk.
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2017
Deep learning for palliative care
In 2017, he coauthors “Improving Palliative Care with Deep Learning” with Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing and Andrew Ng. The work uses a deep neural network trained on electronic health records to predict mortality within 3 to 12 months and identify patients who could benefit from palliative care.
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2018–2021
A patient-data consultation service
In 2018, he creates a bedside consultation service that gives clinicians patient outcome summaries on demand. The service becomes the independent company Atropos Health in 2021.
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March 2022
Chief data scientist at Stanford
In March 2022, he becomes Stanford Health Care’s first chief data scientist. Working with the Stanford Medicine Technology and Digital Solutions team, he leads efforts to integrate AI into patient care, medical research and administrative services.
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2024
The FURM assessment framework
He coauthors the FURM framework in 2024 to assess whether AI models are fair, useful and reliable in health care. Developed by Stanford Health Care’s Data Science team, it combines ethical review, usefulness simulations, financial projections and deployment planning with a plan for continued monitoring.
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May 2025
MedHELM for medical language models
In May 2025, he coauthors MedHELM, a framework for evaluating large language models on medical tasks. Its clinician-validated taxonomy covers five categories, 22 subcategories and 121 tasks, with 35 benchmarks for testing models.
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2026
Association of American Physicians membership
He is inducted into the Association of American Physicians in 2026.
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As of October 2026
Stanford clinical AI leadership
As of October 2026, he is professor of medicine in Computational Medicine and of biomedical data science at Stanford University School of Medicine, and chief data scientist for Stanford Health Care. He leads the health system’s AI and data science efforts and heads a research group that develops predictive models for patient health.
Career
- Since 2022Stanford UniversityChief Data Scientist
- Since 2020Stanford UniversityCo-Director, Center for Artificial Intelligence in Medicine & Imaging (AIMI)
- Since 2019Stanford UniversityAssociate Dean for Research, School of Medicine
- Since 2013Stanford UniversityAssociate Director, Stanford Center for Biomedical Informatics Research
- NowStanford UniversityProfessor of Medicine in Computational Medicine, of Biomedical Data Science and, by courtesy, of Computer Science
- From 2021Atropos HealthFounder
- Until 2010Stanford UniversityStaff Scientist, Center for Biomedical Informatics Research
- 2005–2007Stanford UniversityPostdoctoral Researcher, Center for Biomedical Informatics Research
Education
- 2005Pennsylvania State UniversityPhD in Molecular Medicine
- 1999Baroda Medical CollegeMBBS in Medicine
Sources and credits
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- Nigam H. Shah, MBBS, PhD's Profile | Stanford Profiles
- Introducing Dr. Nigam Shah, Chief Data Scientist at Stanford Health Care, as an Advisor to Define Ventures
- Some heartburn drugs may boost risk of heart attack, study finds
- Improving Palliative Care with Deep Learning
- nigam_shah [Shah Lab]
- Stanford Health Care appoints inaugural chief data scientist
- Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
- MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
- Nigam H. Shah - BrightSpring Health Services
- Leadership | Division of Computational Medicine
- Michael Pfeffer and Nigam Shah | The Minor Consult | Stanford Medicine