Summary
Refaat Gabr is a medical imaging scientist and director with eight years of focused experience translating quantitative MRI, MRS, and AI/ML advances into practical imaging biomarkers for neurology and cardiology. He leads the FAU MRI Research and Discovery Center and holds academic appointments at UTHealth, where his work spans qMRI, perfusion, glymphatic function, and AI-driven lesion detection and image-quality assessment. At Biogen he directed strategy to validate machine-learning imaging biomarkers in clinical trials, and his Johns Hopkins work produced a patented fast spectroscopic imaging method and first-in-human measurements of phosphocreatine diffusion. Refaat combines a deep biomedical engineering and MRI physics background with hands-on AI/ML development, mentoring experience, and a record of 40+ peer-reviewed papers. He is known for bridging physics-based pulse-sequence innovation with practical AI biomarkers to improve pathology detection and trial-readiness. Based in Boca Raton, he brings meticulous problem-solving and a curiosity-driven approach that consistently advances imaging methods from concept to clinical validation.
8 years of coding experience
11 years of employment as a software developer
Johns Hopkins University
M.Sc, Systems and Biomedical Engineering, M.Sc, Systems and Biomedical Engineering at Cairo University