Lucas Rudden is a principal scientist and computational biophysicist with eight years' experience at the intersection of chemistry, physics and machine learning, now leading protein design efforts at GSK in Belgium. He combines deep expertise in biomolecular modelling and soft-matter simulation with practical software development — authoring and maintaining tools such as JabberDock and contributing code from his GitHub portfolio. His postdoctoral work at EPFL advanced diffusion-based sequence/structure models for transmembrane receptor design and integrated water-informed physics into allosteric and binding-rate predictions. Comfortable supervising students and translating methods into patents and publications, he pairs rigorous academic training (PhD, Durham) with hands-on pipeline building for Rosetta, RFDiffusion and ProteinMPNN workflows. An often-overlooked strength is his track record of creating reproducible, open computational tools that bridge research and industrial drug-discovery applications.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biophysics, Doctor of Philosophy - PhD, Computational Biophysics at Durham University
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