Postdoctoral Researcher AFRICAI-RI Horizon Europe (EDCTP3) at Artificial Intelligence in Medicine Lab (BCN-AIM)
Sabadell, Catalonia, Spain
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Summary
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Senior
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Top School
Lidia Moras is a postdoctoral researcher and AI team lead with nine years of experience at the intersection of medical imaging, computer vision, and translational healthcare, currently coordinating AFRICAI-RI activities at the University of Barcelona. She develops fair, generalizable deep learning methods for breast cancer diagnosis and treatment-response prediction, with a track record leading AI work across Horizon Europe projects like EUCanImage and RadioVal. Lidia bridges clinicians, engineers, and data scientists to tackle domain shift, dataset bias, and multi-center validation, emphasizing reproducible research and open science as Chair of the MICCAI Open Data Initiative. Her background spans industrial computer vision and embedded imaging systems, giving her a pragmatic focus on moving models from academic benchmarks to real-world clinical deployment.
9 years of coding experience
5 years of employment as a software developer
Master in Computer Vision, Computer Vision and Machine Learning, Master in Computer Vision, Computer Vision and Machine Learning at Universitat Autònoma de Barcelona
Bachelor in Telecommunications Systems Engineering, Telecommunications Systems, Bachelor in Telecommunications Systems Engineering, Telecommunications Systems at UPC - ETSETB TelecomBCN
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Universitat de Barcelona
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