Liad Magen is a Senior Data Scientist based in Vienna with 13 years of professional experience and two decades of software and research activity that bridge NLP, medical computer vision, and production ML. He currently leads the Data Science Academy at Raiffeisen Bank International, designing and delivering ML, GenAI and data literacy programs while also teaching across multiple Austrian universities in dedicated NLP and Responsible AI master's programs. His background spans hands-on R&D—information extraction from visually rich documents, GNNs for scheduling, and transformer extensions—to product-focused roles and technical leadership in startups and enterprise settings. Liad blends academic rigor (MSc in Biomedical Engineering) with practical engineering, frequently running workshops, organizing hackathons, and supervising theses, which keeps him plugged into both research and talent development. Notably, he pairs classical image-processing skills with deep learning for medical imaging and retrieval-augmented NLP systems, a combination that informs both his teaching and applied projects. Colleagues know him as a pragmatic educator-researcher who consistently turns complex ML research into usable tools and training for diverse technical audiences.
13 years of coding experience
18 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at The Academic College of Tel-Aviv, Yaffo
Master of Science - MS, Biomedical Engineering, Master of Science - MS, Biomedical Engineering at Université Paris Cité
Keep Current Web UI - Where users can view and rate the recommendations, to adapt the results to them.
Contributions:56 commits, 2 PRs, 47 pushes in 9 months
keepweb-uicssjavascriptadapt
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