Daan Knoors is a Data Science Consultant with eight years of experience building privacy-aware AI and machine learning systems for healthcare and public institutions. He has led projects that produced one of the first high-dimensional medical datasets released publicly, developed cancer-risk prediction models, and coordinated federated learning across national registries to train on sensitive data without sharing it. As founder of Knoors Data Science and co-founder of Dev For Good, he blends hands-on model implementation with organizational alignment and ethical governance to deliver immediate value. His academic work on differentially private synthetic data underpins practical solutions that retain utility while protecting patient privacy. Based in Maastricht, he combines technical depth in privacy engineering with a persistent focus on societally beneficial outcomes.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at KTH Royal Institute of Technology
Bachelor of Science (B.Sc.), Industrial Engineering, Bachelor of Science (B.Sc.), Industrial Engineering at Eindhoven University of Technology
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Universidad Politécnica de Madrid
Synthetic data generation methods for the Cancer Registry of Norway
Contributions:3 releases, 16 PRs, 107 pushes in 5 months
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