When
Thursday, April 30, 2026, at 2:00 p.m.
Vignesh Subbian
Associate Professor
Departments of Systems and Industrial Engineering and Biomedical Engineering
University of Arizona
"Making Sense of AI in Health and Biomedicine"
ENGR 301
Abstract: What does it take to translate AI-based systems that can work reliably at the bedside for clinicians and patients? This talk traces a decade of transdisciplinary research at the University of Arizona to advance the science of AI implementation in health systems, with critical care medicine and acute respiratory failure as clinical domains of interest. We will share and discuss the research journey from understanding how clinicians make ventilation management decisions in naturalistic critical care settings, to building and validating computable phenotyping algorithms needed for downstream modeling, to translational models for predicting treatment failure and counterfactual frameworks to reason about what could have been done differently.
Bio: Vignesh Subbian is a collaborative health systems scientist who works at the nexus of systems engineering, medicine and informatics. His research is focused on advancing the science of learning health systems through interdisciplinary research that integrates methods from informatics, human factors and cognitive engineering. He is also a dedicated educator and educational researcher with a passion for research training.