Miguel Lago is a research-driven imaging scientist and senior staff fellow with 11 years of experience translating psychophysics, statistical modeling, and medical imaging research into practical tools for industry and regulation. With a PhD in Computer Science and a postdoc at UC Santa Barbara, he developed a novel peripheral-vision model and 3D eye-movement observer that predicts how clinicians read volumetric images and can drive objective image-quality improvements. His prior PhD work produced an iterative, physics-based method to estimate breast tissue biomechanics from in-vivo imaging, developed during a visiting stint at the University of Pennsylvania’s X-ray Physics Lab. Now at the FDA, Miguel blends rigorous simulation, human-observer modeling, and software engineering to tackle real-world imaging problems and is actively seeking research-focused roles in data science, software engineering, or applied R&D. An unusual strength is his combination of musical training and long-term software development experience, which he says sharpens his pattern-recognition and creative problem-solving approaches.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Music, Bachelor's Degree, Music at Conservatorio Profesional Municipal de Música de Ribaroja
Contributions:83 pushes, 1 branch, 18 tags in 3 years 3 months
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