Summary
Bardia Khosravi is an MD and incoming Radiology Resident at Yale who blends clinical training with a decade of experience building multi-institutional digital platforms for patient care, research, and education. He spent 2021–2024 as a research fellow at Mayo Clinic’s Radiology Informatics and Orthopedics AI labs, developing multimodal risk calculators and exploring generative AI applications in orthopedic surgery. His work produced the open-source package Mediffusion and reflects a pragmatic focus on deployable tools that bridge medicine and machine learning. Based in Boston, he also serves as an adjunct assistant professor and active contributor to machine learning education through SIIM. With dual master’s degrees in Public Health and Health Professions Education, he brings systems-level thinking to clinical problems and a knack for translating research prototypes into shared, scalable resources. A less obvious strength is his sustained involvement in editorial and education boards, signaling commitment to shaping how AI is taught and communicated in radiology.
10 years of coding experience
5 years of employment as a software developer
Master of Public Health - MPH, Public Health, Master of Public Health - MPH, Public Health at Tehran University of Medical Sciences