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Shyam Visweswaran, MD, PhD
- Professor of Biomedical Informatics (with Tenure); Interim Chair
- Vice Chair of Clinical Informatics
- Associate Professor (Secondary), School of Computing and Information
- Associate Professor (Secondary), Clinical and Translational Science Institute
Department of Biomedical Informatics (DBMI) | University of Pittsburgh School of Medicine
Biography
Shyam Visweswaran, MD, PhD, is Professor of Biomedical Informatics at the University of Pittsburgh School of Medicine and currently serves as Interim Chair and Vice Chair of Clinical Informatics in the Department of Biomedical Informatics. He also holds secondary appointments in the Intelligent Systems Program and the Clinical and Translational Science Institute. Dr. Visweswaran received his medical degree from JIPMER in India, completed a neurology residency at Boston University Medical Center, and earned his PhD in Intelligent Systems (Artificial Intelligence) from the University of Pittsburgh. His research focuses on developing and evaluating AI methods for biomedical discovery and clinical care, with emphasis on clinical decision support, patient-specific modeling, and research data infrastructure.
Computational & Clinical Expertise
Dr. Visweswaran’s clinical training is in medicine and neurology, and his clinical informatics work focuses on using electronic health record data, predictive modeling, and AI-enabled decision support to improve clinical care. His expertise includes patient-specific modeling, evaluation of clinical algorithms across diverse populations, and the design of privacy-preserving federated research networks. He leads informatics infrastructure for the CTSA program at Pitt and directs the All of Us Pennsylvania Research Program.
Research Interests
Dr. Visweswaran’s research focuses on developing and evaluating artificial intelligence methods for biomedical discovery and clinical care. His current interests include AI-enabled clinical decision support, generalizability and fairness in clinical algorithms, patient-specific predictive modeling, causal discovery from high-dimensional biomedical data, and research data warehousing. He leads the All of Us Pennsylvania Research Program and the ENACT federated network, which enable large-scale observational research across multiple health systems.
Specialties
- Artificial intelligence-enabled clinical decision support
- Generalizability in clinical algorithms
- Patient-specific modeling
- Causal discovery from biomedical data
- Research data warehousing
- Ontology development
Websites & Links
Education & Training
- M.B., B.S. (MD Equivalent)JIPMER, Puducherry, India1983–1989
- M.S., Physiology and BiophysicsUniversity of Illinois at Urbana-Champaign, Urbana, IL1991–1996
- Neurology ResidencyBoston University Medical Center, Boston, MA1997–1999
- Post-baccalaureate, Computer ScienceArsDigita University, Cambridge, MA2000–2001
- Ph.D., Intelligent Systems (Artificial Intelligence)University of Pittsburgh, Pittsburgh, PA2001–2007
Certifications
- Board EligiblePsychiatry and Neurology
Awards & Distinctions
- Fellow of the American Medical Informatics AssociationAMIA2021
- Fellow of the Australasian Institute of Digital HealthAIDH2022
- Fellow of the American College of Medical InformaticsACMI2023
- Fellow of the International Academy of Health Sciences InformaticsIAHSI2024
Representative Publications
Visweswaran S, Sadhu EM, Morris MM, Vis AR, Samayamuthu MJ. Online database of clinical algorithms with race and ethnicity. Sci Rep. 2025;15(1):10913. PMID: 40157976; PMCID: PMC11954862.
Visweswaran S, McLay B, Cappella N, Morris M, Milnes JT, Reis SE, Silverstein JC, Becich MJ. An atomic approach to the design and implementation of a research data warehouse. J Am Med Inform Assoc. 2022;29(4):601–608. doi: 10.1093/jamia/ocab204. PMID: 34613409.
Visweswaran S, Becich MJ, D’Itri VS, et al. Accrual to Clinical Trials (ACT): a Clinical and Translational Science Award Consortium network. JAMIA Open. 2018;1(2):147–152. doi: 10.1093/jamiaopen/ooy033.
Visweswaran S, Samayamuthu MJ, Morris M, et al. A federally funded distributed query network to support multi-site population health research. JAMIA. 2021;28(9):1963–1970.
Visweswaran S, Angus DC, Hsieh M, Weissfeld L, Yealy D, Cooper GF. Learning patient-specific predictive models from clinical data. J Biomed Inform. 2010;43(5):669–685. PMID: 20450985.
Research Grants
| Grant / Funding Agency | Role | Grant Number | Years |
|---|---|---|---|
| Informatics Core, Clinical and Translational Science Institute NIH/NCATS | Director | UL1 TR001857 | 2016–2026 |
| All of Us Pennsylvania (AOU PA) Research Program NIH All of Us | PD/PI | OT2 OD026554 | 2018–2026 |
| ENACT: Translating Health Informatics Tools for Clinical Research NIH/NCATS | PD/PI | U24 TR004111 | 2022–2027 |
| The Pediatric Precision Sleep Network NIH/NIMH | Co-I | U01 MH136020 | 2024–2029 |
| Integrating Multi-Modal Data and Biomechanical Modeling NIH/NHLBI | Co-I | R01 HL141813 | 2025–2030 |
| ARISE-CARE: Advancing Rehabilitation for Individuals with Stroke NIH/NLM | Co-I | R01 LM014588 | 2025–2029 |
Trainees
| Trainee | Degree Program / Role & Years |
|---|---|
| Hazim Alotaibi | Doctor of Juridical Science (SJD) Program — Dissertation Committee Member (2025) |
| Mohammadamin Tajgardoon | Intelligent Systems Program — Primary Advisor (expected 2025) |
| Amir Mina | MSTP and Biomedical Informatics — Primary Advisor (expected 2026) |
| Joshua Anderson | Intelligent Systems Program — Primary Advisor (expected 2026) |
| Nihal Murali | Intelligent Systems Program — Primary Co-Advisor (expected 2026) |