Biography
Dr. Vishnu Ravi combines his expertise as a board-certified, practicing internal medicine physician, senior software engineer, and board-certified clinical informaticist to create transformative solutions for healthcare.
As the Technology Architect for Stanford Medicine Catalyst, the Stanford School of Medicine's flagship innovation program, he designs, develops, and implements innovations including AI-driven platforms for Parkinson's care, chronic cardiovascular disease management, and precision pharmacogenomics that are helping patients receive more personalized and effective care.
At the Stanford Mussallem Center for Biodesign, Vishnu helps lead the center's digital health initiatives spanning education, research, and translation. To support this work, he co-founded Stanford Spezi, an open-source framework and ecosystem for building modular, standards-based digital health solutions that is now used by leading healthcare institutions and companies worldwide.
Vishnu also instructs Stanford's CS342/MED253 Building for Digital Health, an innovative course that brings together computer science, engineering, and medical students with clinical faculty to develop real-world healthcare applications. In 2025, he helped lead the international expansion of this program, with a successful launch at Chalmers University of Technology and University of Gothenburg in Sweden. He is also deeply involved in the effort to weave AI into the medical school curriculum at Stanford.
Vishnu's entrepreneurial experience includes co-founding a TechStars-backed startup and developing COVID-19 solutions deployed internationally. He has pioneered clinical AI applications, creating conversational agents and advanced analytics for unstructured health data, while contributing to international mobile health data standards. He serves as a technical consultant to companies including Google and speaks regularly at industry conferences.
Alongside his technology work, Vishnu maintains his connection to clinical practice as an Internal Medicine physician providing comprehensive primary care to a diverse patient population at Stanford Health Care.
As the Technology Architect for Stanford Medicine Catalyst, the Stanford School of Medicine's flagship innovation program, he designs, develops, and implements innovations including AI-driven platforms for Parkinson's care, chronic cardiovascular disease management, and precision pharmacogenomics that are helping patients receive more personalized and effective care.
At the Stanford Mussallem Center for Biodesign, Vishnu helps lead the center's digital health initiatives spanning education, research, and translation. To support this work, he co-founded Stanford Spezi, an open-source framework and ecosystem for building modular, standards-based digital health solutions that is now used by leading healthcare institutions and companies worldwide.
Vishnu also instructs Stanford's CS342/MED253 Building for Digital Health, an innovative course that brings together computer science, engineering, and medical students with clinical faculty to develop real-world healthcare applications. In 2025, he helped lead the international expansion of this program, with a successful launch at Chalmers University of Technology and University of Gothenburg in Sweden. He is also deeply involved in the effort to weave AI into the medical school curriculum at Stanford.
Vishnu's entrepreneurial experience includes co-founding a TechStars-backed startup and developing COVID-19 solutions deployed internationally. He has pioneered clinical AI applications, creating conversational agents and advanced analytics for unstructured health data, while contributing to international mobile health data standards. He serves as a technical consultant to companies including Google and speaks regularly at industry conferences.
Alongside his technology work, Vishnu maintains his connection to clinical practice as an Internal Medicine physician providing comprehensive primary care to a diverse patient population at Stanford Health Care.
View Full Biography
Professional Summary
Education & Certifications
- Board Certification: American Board of Preventive Medicine, Clinical Informatics (2025)
- Board Certification: American Board of Internal Medicine, Internal Medicine (2019)
- Residency: Icahn School of Medicine at Mount Sinai Hospital Internal Medicine Residency (2019) NY
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- Medical Education: Albany Medical College (2016) NY
- BA, Cornell University
Memberships
- Member, American Medical Informatics Association (2022 - Present)
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Administrative Appointments
- Director of Technology, Stanford ARiSE (AI Research and Science Evaluation) Network (2025 - Present)
- Lead Architect Digital Health, Stanford Mussallem Center for Biodesign (2022 - Present)
- Technology Architect, Stanford Medicine Catalyst (2023 - Present)
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Publications
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CardinalKit: open-source standards-based, interoperable mobile development platform to help translate the promise of digital health.
Aalami, O., Hittle, M., Ravi, V., Griffin, A., Schmiedmayer, P., Shenoy, V., … Venook, R. (2023). CardinalKit: open-source standards-based, interoperable mobile development platform to help translate the promise of digital health. JAMIA Open, 6(3), ooad044. -
Utility of smart watches for identifying arrhythmias in children.
Zahedivash, A., Chubb, H., Giacone, H., Boramanand, N. K., Dubin, A. M., Trela, A., … Ceresnak, S. R. (2023). Utility of smart watches for identifying arrhythmias in children. Communications Medicine, 3(1), 167. -
Lubricin: a novel means to decrease bacterial adhesion and proliferation.
Aninwene, G. E., Abadian, P. N., Ravi, V., Taylor, E. N., Hall, D. M., Mei, A., … Webster, T. J. (2015). Lubricin: a novel means to decrease bacterial adhesion and proliferation. Journal of Biomedical Materials Research. Part A, 103(2), 451–62. -
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Design and Implementation of an Electronic Health Record-Integrated Hypertension Management Application.
Funes Hernandez, M., Babakhanian, M., Chen, T. P., Sarraju, A., Seninger, C., Ravi, V., … Wang, P. J. (2024). Design and Implementation of an Electronic Health Record-Integrated Hypertension Management Application. Journal of the American Heart Association, 13(2), e030884. -
Quantitative DigitoGraphy: a Comprehensive Real-Time Remote Monitoring System for Parkinson's Disease.
Hoffman, S. L., Schmiedmayer, P., Gala, A. S., Wilkins, K. B., Parisi, L., Karjagi, S., … Bronte-Stewart, H. (2024). Quantitative DigitoGraphy: a Comprehensive Real-Time Remote Monitoring System for Parkinson's Disease. Research Square. -
Comprehensive real time remote monitoring for Parkinson's disease using Quantitative DigitoGraphy.
Hoffman, S. L., Schmiedmayer, P., Gala, A. S., Wilkins, K. B., Parisi, L., Karjagi, S., … Bronte-Stewart, H. (2024). Comprehensive real time remote monitoring for Parkinson's disease using Quantitative DigitoGraphy. NPJ Parkinson's Disease, 10(1), 137. -
FACTORS ASSOCIATED WITH OBJECTIVELY MEASURED LIFE-SPACE AND GREEN SPACE IN AGING ADULTS
Odden, M., Tan, A., Lai, S. D., Mwanda, S., Rhodes, D., Judd, S., & Ravi, V. (2024). FACTORS ASSOCIATED WITH OBJECTIVELY MEASURED LIFE-SPACE AND GREEN SPACE IN AGING ADULTS. INNOVATION IN AGING. OXFORD UNIV PRESS. -
Towards interoperable digital medication records on FHIR: development and technical validation of a minimal core dataset.
Salgado-Baez, E., Heidepriem, R., Delucchi Danhier, R., Rinaldi, E., Ravi, V., Poncette, A.-S. S., … Sass, J. (2025). Towards interoperable digital medication records on FHIR: development and technical validation of a minimal core dataset. JMIR Medical Informatics. -
Enhancing Distress Tolerance Skills in Adolescents With Anorexia Nervosa Through the BALANCE Mobile App: Feasibility and Acceptability Study.
Miranda, C., Matheson, B., Datta, N., Whyte, A., Yang, H.-J. J., Schmiedmayer, P., … Lock, J. (2025). Enhancing Distress Tolerance Skills in Adolescents With Anorexia Nervosa Through the BALANCE Mobile App: Feasibility and Acceptability Study. JMIR Formative Research, 9, e70278. -
LLMonFHIR: A Physician-Validated, Large Language Model-Based Mobile Application for Querying Patient Electronic Health Data.
Schmiedmayer, P., Rao, A., Zagar, P., Aalami, L., Ravi, V., Zahedivash, A., … Aalami, O. (2025). LLMonFHIR: A Physician-Validated, Large Language Model-Based Mobile Application for Querying Patient Electronic Health Data. JACC. Advances, 4(6 Pt 1), 101780. -
Lessons Learned from an EHR-Integrated Clinical Decision Support Tool
Babakhanian, M., Miller, A., Ravi, V., Miller, J., Lacar, K., Chen, T. P., … Wang, P. J. (2024). Lessons Learned from an EHR-Integrated Clinical Decision Support Tool. Heart Rhythm. -
Analytical performance of targeted long-read HiFi sequencing to detect pharmacogenomic HLA-A and -B alleles implicated in drug-induced hypersensitivity reactions
Zhang, B. M., Liao, L., Song, X., Zhu, Q., Ravi, V., Ho, C., … Scott, S. A. (2025). Analytical performance of targeted long-read HiFi sequencing to detect pharmacogenomic HLA-A and -B alleles implicated in drug-induced hypersensitivity reactions. Human Immunology, 86. -
Dynamic fog computing for enhanced LLM execution in medical applications
Zagar, P., Ravi, V., Aalami, L., Krusche, S., Aalami, O., & Schmiedmayer, P. (2025). Dynamic fog computing for enhanced LLM execution in medical applications. SMART HEALTH, 36. -
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases
Wu, D. J. H., Haredasht, F. N., Wu, D., Ravi, V., McCoy, L. G., Weng, Y., … Chen, J. H. (2026). Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases. Pacific Symposium on Biocomputing. Hawaii, USA. -
Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral Routing.
Haredasht, F. N., Goh, E., Ravi, V., Ashtari, P., Jiang, Y., Yuldashev, N., … Chen, J. H. (2024). Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral Routing. AMIA ... Annual Symposium Proceedings. AMIA Symposium, 2024, 443–450. -
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates.
McCoy, L. G., Wu, D., Khemani, S., Maharaj, S. K., Pahwa, A., Rosengaus, L., … Chen, J. H. (2026). Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 31, 400–416. -
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases.
Wu, D. J., Haredasht, F. N., Wu, D., Ravi, V., McCoy, L. G., Weng, Y., … Chen, J. H. (2026). Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 31, 372–387.
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Design and Implementation of an Electronic Health Record-Integrated Hypertension Management Application.
Clinical Trials
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