Christos Sourmpis is a research scientist with nine years of experience at the intersection of computational neuroscience and machine learning, currently advancing research at Huawei after a PhD at EPFL. He specializes in applying deep learning to capture neural dynamics, integrating biological constraints to make models reflect real-world variability and bridge theory with experiment. His background spans engineering and computer science training from Patras and TU Graz, and he has practical industry R&D experience from SynSense and aiCTX. Comfortable collaborating across biology, physics and CS teams, he brings both academic rigor and product-minded engineering to translate neuroscience insights into deployable AI solutions. An under-the-radar strength is his focus on model interpretability and biologically plausible architectures that improve robustness beyond standard black-box approaches.
9 years of coding experience
Engineer's degree, Electrical, Electronics and Communications Engineering, Engineer's degree, Electrical, Electronics and Communications Engineering at University of Patras
Erasmus, Computer Science, Erasmus, Computer Science at Technische Universität Graz
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at École polytechnique fédérale de Lausanne
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.