Summary
Akis Linardos is a research analyst and applied research scientist with nine years of experience at the intersection of federated learning, medical imaging, and responsible AI for healthcare. He has led and published multidisciplinary studies—developing federated frameworks for breast cancer screening and multi-center cardiac MRI, contributing to open-source libraries like TorchIO and Flower, and earning distinguished dissemination at RSNA 2024. Akis combines hands-on engineering (simulation studies, data synthesis, provenance) with successful grant writing that secured NIH funding, bridging academic rigor and translational impact. Unusually for a technical researcher, he is also a prolific fiction writer with over 20 genre publications, reflecting a creative sensibility that informs clear scientific communication and storytelling of complex ideas.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Bioinformatics, 8.85, Master of Science - MS, Bioinformatics, 8.85 at University of Crete