Shyam Visweswaran

Shyam Visweswaran is a Professor in the Department of Biomedical Informatics at the University of Pittsburgh, holding dual appointments in the Intelligent Systems Program and the Clinical and Translational Science Institute. He leads the Vis Lab, focusing on AI-driven clinical decision support and biomedical discovery. His research integrates machine learning with clinical and genomic data to address challenges in precision medicine, causal inference, and healthcare analytics.

Education: Ph.D. in Biomedical Informatics from the University of Pittsburgh (2008).

Research Interests: Development of patient-specific predictive models, causal discovery from healthcare data, AI-based clinical decision support systems, and biomedical data warehousing. His work emphasizes ethical AI applications, particularly in reducing health disparities through fair algorithms.

Key Contributions: Pioneered methods for personalized decision-path models, kernel-based causal inference, and EHR-driven predictive analytics. Active in national research networks like ENACT, advancing federated data sharing and EHR-based cohort discovery.

Lab & Teams: The Vis Lab collaborates with clinical and computational teams to translate AI innovations into clinical tools, with ongoing projects in mental health prediction, pharmacogenomics, and neurodegenerative disease modeling.