Florent Dufour is a research associate at the Leibniz Supercomputing Centre and a PhD candidate at Technical University of Munich, specializing in sovereign, privacy-preserving, and trustworthy AI for medical research. With eight years of experience across high-throughput computing, blockchain, and biomedical research, he connects cloud and confidential AI techniques to real-world clinical data challenges. His background spans academia and applied research—from CNRS and Inserm projects to industry-facing work at Université de Lorraine—giving him a rare mix of lab-level biomedical insight and large-scale compute expertise. Based in Munich, he focuses on building systems that enable collaborative medical research without compromising patient privacy. He brings practical experience in cloud-native architectures and confidential computing, and a demonstrated interest in translating nanotechnology and organ-research insights into scalable data-driven solutions. Colleagues know him for bridging deep technical rigor with a clear commitment to ethical, sovereign AI.
8 years of coding experience
1 year of employment as a software developer
Preparatory class - TB, Biotechnology, 2nd nationwide, Preparatory class - TB, Biotechnology, 2nd nationwide at Lycée Jean Rostand
Engineer's degree, Biotechnnology, Engineer's degree, Biotechnnology at ESBS
Biozentrum, University of Basel
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technical University of Munich
The University of Freiburg
Baccalauréat, Science & Technology of Laboratory - Biotechnology, Highest distinction, Baccalauréat, Science & Technology of Laboratory - Biotechnology, Highest distinction at Lycée Stanislas
Master's degree, data science and bioinformatics, Master's degree, data science and bioinformatics at University of Strasbourg
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