Joshua Barrios

Joshua Barrios, PhD, is an Assistant Professor at the University of California, San Francisco (UCSF) School of Medicine. His research bridges systems neuroscience and machine learning to develop AI-driven clinical tools for disease detection and prevention.

• Education: Ph.D. in Neuroscience from the University of Utah (2019).
• Research Themes: Dopaminergic sensorimotor behavior, deep learning for ECG/echocardiogram analysis, clinical automation, and disease mechanism elucidation.

Dr. Barrios focuses on automating clinical diagnostics through AI systems that detect conditions like mitral valve prolapse, hypertrophic cardiomyopathy, and pulmonary hypertension. His work emphasizes improving healthcare sensitivity and preventative care efficacy by leveraging complex data modalities (ECGs, MRIs, clinical datasets).

He collaborates closely with the Tison Lab, mentoring medical students, residents, fellows, and PhD candidates in innovative research projects. His publications highlight applications of convolutional neural networks, video-based AI, and transfer learning in cardiology.