Joshua Barrios

Dr. Joshua Barrios is an Assistant Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. He holds a Ph.D. in Neuroscience from the University of Utah (2019), focusing on dopaminergic modulation of sensorimotor behavior. His research integrates computational neuroscience, systems neuroscience, and advanced machine learning to develop clinical tools for disease detection and diagnostic enhancement. He collaborates closely with Dr. Geoff Tison in the Tison Lab, focusing on deep learning systems for cardiovascular applications, such as automated disease detection from ECGs, echocardiograms, and other clinical data.

Key research interests include improving early disease detection for conditions like mitral valve prolapse, hypertrophic cardiomyopathy, and pulmonary hypertension. Dr. Barrios mentors students and fellows in UCSF’s collaborative environment, leveraging access to clinical data and computational resources. His work emphasizes enhancing healthcare sensitivity and preventative care efficacy through AI-driven innovations.

Recent publications highlight advancements in automated ECG analysis, cardiac imaging interpretation, and AI applications for arrhythmia monitoring. Despite no listed awards, his contributions to AI in cardiology have been widely discussed in medical and tech communities, with collaborations across institutions like UCSF, University of Utah, and international teams. His lab’s work aims to bridge engineering and clinical practice, addressing unmet needs in diagnostics and patient care.