Paul Scotti is a CTO and computational neuroscience researcher with a decade of experience building multimodal AI systems at the intersection of neuroimaging and healthcare. He co-founded Sophont to develop open multimodal medical foundation models and concurrently conducts cutting-edge research at Princeton on real-time fMRI-to-image and self-supervised foundation modeling from brain recordings. His background spans an academic track from a PhD in Cognitive Neuroscience to postdoctoral and research scientist roles, and industry leadership as Head of Neuroimaging & AI at Stability AI’s MedARC lab. Paul bridges rigorous neuroscience methodology with practical ML engineering, shipping systems that translate fMRI signals into interpretable models. Based in Oakland, he blends startup grit with academic depth, and maintains an open CV and research archive online that highlights both code and publications. Notably, his work emphasizes open, reproducible models for medical applications rather than proprietary black-box solutions.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, PSYCHOLOGY, Magna cum laude, Bachelor of Arts - BA, PSYCHOLOGY, Magna cum laude at The George Washington University
Doctor of Philosophy - PhD, Cognitive Neuroscience & Psychology, Doctor of Philosophy - PhD, Cognitive Neuroscience & Psychology at The Ohio State University
Computational Neuroscience, Computational Neuroscience at Princeton University
Contributions:26 commits, 21 pushes, 1 branch in 1 year 6 months
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Paul Scotti - Chief Technology Officer at Princeton University