http://www.thevislab.com/lab/ 2026-04-05T11:30:45+00:00 http://www.thevislab.com/lab/ http://www.thevislab.com/lab/lib/tpl/prsnl10/images/favicon.ico text/html 2026-01-29T21:11:32+00:00 shyam (shyam@undisclosed.example.com) http://www.thevislab.com/lab/doku.php?id=start&rev=1769739092&do=diff Shyam Visweswaran, MD, PhD (PI of the Vis Lab) I am Interim Chair and UPMC Endowed Chair of Biomedical Informatics with training in artificial intelligence (AI), biomedical informatics, and clinical neurology. I lead interdisciplinary research advancing AI in biomedicine, with a focus on AI-enabled clinical decision support, ethically grounded clinical algorithms, patient-specific modeling, causal discovery from complex biomedical data, and ontology development. text/html 2025-11-03T15:38:51+00:00 shyam (shyam@undisclosed.example.com) http://www.thevislab.com/lab/doku.php?id=members&rev=1762202331&do=diff Members Principal Investigator * Shyam Visweswaran, MD, PhD Students * Amin Tajgardoon, MS, (Pursuing PhD in Intelligent Systems Program) * Joshua W Anderson, (Pursuing PhD in Intelligent Systems Program) * Nihal Murali, (Pursuing PhD in Intelligent Systems Program) Alumni * text/html 2023-11-30T23:20:26+00:00 shyam (shyam@undisclosed.example.com) http://www.thevislab.com/lab/doku.php?id=resources&rev=1701404426&do=diff Teaching BIOINF 2119 Probabilistic Methods in Artificial Intelligence (Onsite course) Taught every spring, 2010 - 2017 This course introduces fundamental concepts and methods in artificial intelligence that are applicable to problems in biomedicine. This course is designed for students who do not necessarily have a background in computer science. The course provides the foundations in artificial intelligence methods including search (breadth-first search, depth-first search, greedy search, et… text/html 2023-09-16T08:13:04+00:00 shyam (shyam@undisclosed.example.com) http://www.thevislab.com/lab/doku.php?id=publications&rev=1694866384&do=diff Journal papers and conference proceedings See Google Scholar for recent papers. 107. A novel personalized random forest algorithm for clinical outcome prediction. Johnson A, Cooper GF, Visweswaran S. Virtual MedInfo Symposium. October 2021. ([paper]) 106. The National COVID Cohort Collaborative (N3C) Rationale, design, infrastructure, and deployment