Summary
Félix Hubert is a PhD candidate in computational neuroscience based in Paris with eight years of experience at the intersection of neuroscience, data science and full‑stack development. He has applied reinforcement learning and Bayesian analysis to fMRI data during research roles at DR CMR and the Paris Brain Institute, and built a medical incident reporting platform with integrated chatbot and deep‑learning pipelines in industry. Trained as an engineer at CentraleSupélec and holding an M2 in Computational Neurosciences from Université Paris‑Saclay, he blends rigorous modeling skills with practical software engineering. Félix is comfortable moving from Matlab and VBA analytics to production web stacks and NLP on clinical narratives, showing versatility across research and product contexts. He pairs academic rigor with hands‑on project delivery—whether automating warehouse flows in Singapore or directing student film productions—reflecting a creative, multidisciplinary problem‑solving style. Notably, his background reveals a rare combination of reinforcement‑learning modeling for brain data and real‑world medical software deployment.
8 years of coding experience
2 years of employment as a software developer
Mathematics, Physics and Fundamental informatics, Mathematics, Physics and Fundamental informatics at Lycée Janson-de-Sailly
Master's degree in Engineering and computer science, Computer Science, Master's degree in Engineering and computer science, Computer Science at CentraleSupelec
M2 Computational Neurosciences & Neuroengineering, M2 Computational Neurosciences & Neuroengineering at Université Paris-Saclay