Summary
Florent Hédin is a Senior HPC Engineer with 12 years of experience applying high-performance computing to computational chemistry and drug discovery at Qubit Pharmaceuticals. He holds a PhD in Computational Chemistry from Universität Basel and has a strong track record in rare-event sampling algorithms, force-field fitting tools, and scaling scientific software for production workloads. His background spans academia and research institutions (Inria, École des Ponts, IPAM/UCLA) where he translated advanced sampling methods into robust implementations in MD engines like CHARMM. Comfortable at the intersection of theory and engineering, he builds reproducible HPC pipelines that accelerate molecular simulations and uncertainty quantification. Colleagues value him for bringing rigorous research insight into pragmatic, high-throughput environments for pharma applications. An understated strength is his history of developing niche algorithmic tools (e.g., Spatial Averaging Monte-Carlo and force-field Fitting Wizard) that bridge methodology and usable software.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computational chemistry, PhD student, Doctor of Philosophy (PhD), Computational chemistry, PhD student at Universität Basel
Master's degree, Cheminformatics, Master's degree, Cheminformatics at University of Strasbourg
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Université de Picardie Jules Verne (Amiens)
French, English