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nigam_shah [2020/07/27 22:55]
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nigam_shah [2024/04/03 13:47] (current)
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| Titles: \\ | Dr. Nigam H. Shah, MBBS, PhD. |
| Associate Professor of Medicine, and of Biomedical Data Science \\ | |
| Associate CIO for Data Science, Stanford Healthcare \\ | |
| Associate Dean for Research, School of Medicine \\ | |
| Associate Director, Stanford Center for Biomedical Informatics Research \\ | |
| |
| Address:\\ | **Titles:** \\ |
| X-235, Medical School Office Building\\ | Professor of Medicine, and of Biomedical Data Science\\ |
| 1265 Welch Road, Stanford, CA 94305-5479\\ | Chief Data Scientist, Stanford Healthcare\\ |
| [[http://www.tinyurl.com/meet-nigam|Location and Parking]] | [[https://tinyurl.com/nigam-profile-pic|Profile picture]] | Associate Dean for Research, School of Medicine\\ |
| | Associate Director, Stanford Center for Biomedical Informatics Research |
| |
| Administrative Contact: Carla Mashack\\ | **Affiliations:** \\ |
| cmashack@stanford.edu | (650) 725-3384 | Center for Biomedical Informatics Research, Stanford University\\ |
| | Technology and Digital Solutions, Stanford Healthcare\\ |
| | Clinical Excellence Research Center, Stanford University |
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| [[http://shahlab.stanford.edu|Lab website]], [[https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/42267992/?sort=date&direction=descending|PubMed]], [[http://scholar.google.com/citations?user=n63DmP8AAAAJ| G-Scholar]], [[http://bmir.stanford.edu/people/view.php/nigam_h_shah|BMIR page]], [[http://www.researchgate.net/profile/Nigam_Shah2/|Research gate]], [[http://med.stanford.edu/profiles/Nigam_Shah|Stanford Profiles]], [[http://www.linkedin.com/in/nigam|LinkedIn]], [[https://arxiv.org/search/?query=Nigam+Shah&searchtype=author| arXiv submissions]] | **Address:** \\ |
| | B-102, 3180 Porter Drive\\ |
| | Palo Alto, CA 94304 |
| |
| Biography: Dr. Nigam Shah is Associate Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable the learning health system. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. | **Profiles:** \\ |
| | [[http://shahlab.stanford.edu|Lab website]] | [[https://tinyurl.com/meet-nigam| Location Map]] | [[https://explorecourses.stanford.edu/instructor/nigam| Teaching profile]]\\ |
| | [[https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/42267992/?sort=date&direction=descending|PubMed]], [[http://scholar.google.com/citations?user=n63DmP8AAAAJ| G-Scholar]], [[http://www.researchgate.net/profile/Nigam_Shah2/|Research gate]], [[https://arxiv.org/search/?query=Nigam+Shah&searchtype=author| arXiv submissions]] | [[http://med.stanford.edu/profiles/Nigam_Shah|Stanford Profiles]], [[http://www.linkedin.com/in/nigam|LinkedIn]], [[https://twitter.com/drnigam|Twitter]] |
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| | **Profile pictures** |
| | |
| | * [[https://tinyurl.com/nigam-profile-pic|https://tinyurl.com/nigam-profile-pic]] |
| | * [[https://photos.app.goo.gl/95bEAAbsNTfjWgD3A|https://photos.app.goo.gl/95bEAAbsNTfjWgD3A]] |
| | * [[https://photos.app.goo.gl/x3x8RCxP2kb6uLKg7|https://photos.app.goo.gl/x3x8RCxP2kb6uLKg7]] |
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| | **Biography:** \\ Dr. Nigam Shah is Professor of Medicine at Stanford University, and Chief Data Scientist for Stanford Health Care. His research is focused on bringing AI into clinical use, safely, ethically and cost-effectively. Dr. Shah is an inventor on eight patents, has authored over 200 scientific publications, and has co-founded three companies. Dr. Shah was inducted into the American College of Medical Informatics (ACMI) in 2015 and the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. |
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