Gerard Juan is a Senior AI Researcher based in Barcelona with 10 years of experience building and deploying machine learning and generative models across medical imaging and neuroimaging applications. He holds a Cum Laude PhD focused on advanced ML for Alzheimer’s disease and has led large multi-institutional projects analyzing MRI from thousands of subjects, producing reproducible pipelines (fetpype) and cloud-scale workflows. At Eden he translates research into product-ready AI solutions while mentoring teams and integrating models into production; his work spans unsupervised feature learning, generative whole-brain modeling, and 3D CNN diagnostics that improved lesion detection accuracy. Notably, he combines deep academic rigor with practical engineering—containerized, BIDS-compliant pipelines and novel RVAE architectures—enabling both scientific discovery and operational deployment.
10 years of coding experience
9 years of employment as a software developer
Master, Computer Vision, Master, Computer Vision at Universitat Autònoma de Barcelona
PhD in Information and Comunicaction Technologies, Computer Science, Cum Laude, PhD in Information and Comunicaction Technologies, Computer Science, Cum Laude at Universitat Pompeu Fabra
Bachelor's degree in Computer Science, Computer Vision, Bachelor's degree in Computer Science, Computer Vision at Technische Universität München
Contributions:18 pushes, 3 branches in 6 years 8 months
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