Xenophon Papademetris is a Professor at Yale School of Medicine with 30 years of expertise in medical image analysis and software development, and he directs Yale’s Certificate Program in Medical Software and Medical AI. He authored the Cambridge University Press textbook Introduction to Medical Software and teaches the companion Coursera course, translating deep research into practical education. His work spans model-based physiological and biomechanical methods as well as modern data-driven machine learning across modalities (MRI, CT, PET, ultrasound) and applications from cardiac and neuroimaging to image-guided surgery. He leads the open-source BioImage Suite Web project, pioneering browser-based, server-less imaging tools that compile C++ into WebAssembly for direct use in JS, Python, and MATLAB. Funded largely by the NIH and active as an NIH/NSF reviewer and industry consultant, he combines academic leadership with hands-on software engineering and a track record of moving research tools toward clinical and commercial impact.
8 years of coding experience
Bachelor of Arts (B.A.), Electrical Engineering, Bachelor of Arts (B.A.), Electrical Engineering at University of Cambridge
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Yale University
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Xenophon Papademetris - Professor at Yale University School of Medicine