Summary
Alexandros Patsanis is a data scientist with a PhD in Medical Technology and a decade of experience applying deep learning, generative models, and reinforcement learning to real-world problems across healthcare and simulation domains. He developed GAN- and CNN/ViT-based CAD systems for prostate cancer detection on MRI during his PhD and has continued bridging research and engineering at DNV, working on federated health data, digital health assessment frameworks, and RL agents for maritime simulation. Comfortable shipping reproducible Python pipelines and converting research models into deployable artifacts (FMUs), he blends academic rigor with production-focused engineering. Alexandros has practical exposure to large-scale industry settings from internships at Ericsson to long-term projects at DNV and NTNU, and he pairs technical work with science communication through conference talks. An often overlooked strength is his background in pedagogy and hands-on IT support, which informs his clear documentation and collaborative approach to multidisciplinary projects.
10 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Uppsala University
Postgraduate Program for Certificate in Education ( PGCE ) Pedagogical and Teaching Competence, Postgraduate Program for Certificate in Education ( PGCE ) Pedagogical and Teaching Competence at School of Pedagogical and Technological Education
Bachelor’s Degree Informatics & Communications Engineer, Bachelor’s Degree Informatics & Communications Engineer at Technological Educational Institute of Central Macedonia
Norwegian University of Science and Technology
English, Greek, basic swedish, basic norwegian