Vignesh Subbian

Vignesh Subbian is an Associate Professor at the University of Arizona with joint appointments in the Department of Biomedical Engineering, Systems and Industrial Engineering, Statistics, Applied Mathematics, Clinical Translational Sciences, and Medicine. He is affiliated with the College of Engineering, the BIO5 Institute, and the Center for Biomedical Informatics & Biostatistics (CB2), where he serves as Associate Director. He is also a Distinguished Fellow of the Center for University Education Scholarship (CUES) and a member of the Graduate Faculty.

His research lies at the nexus of systems engineering, medicine, and informatics, focusing on clinical decision-making, digital phenotyping, explainability in AI, and health equity. His educational initiatives emphasize asset-based practices, ethics in engineering, and professional identity formation. He leads two major training programs: the NLM-funded PHIRE program and the NSF-supported eCAMINOS initiative.

The recent publications highlight a strong trend in applying machine learning to critical care, particularly in acute respiratory failure and traumatic brain injury. His work emphasizes model interpretability (e.g., WindowSHAP, SLAC-Time), temporal modeling of EHR data, and ethical considerations in informatics and AI. There is a growing focus on large language models for phenotyping and inclusive language in scientific communication.

• Excellence at the Student Interface Award (2023, 2021, 2019)
• Arizona Champion, Office of the Provost (2022)

Dr. Subbian leads the Health Systems Engineering & Informatics Laboratory, which is supported by the NIH, NSF, AHRQ, and BIO5 Institute. He advises students and mentors trainees through federally funded programs. His lab collaborates widely across medicine, pharmacy, and public health, and he plays a key role in national initiatives like All of Us and RECOVER.