Postdoctoral Researcher at École polytechnique fédérale de Lausanne
Le Mont-sur-Lausanne, Vaud, Switzerland
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Alexis Arnaudon is a data science developer and applied mathematician with over a decade of research and engineering experience, including a PhD from Imperial College London and postdoc roles at EPFL and Blue Brain. He specialises in biologically constrained neuronal modelling, statistical sampling (MCMC) and genetic optimisation of high-dimensional nonlinear systems, and has led the development of novel numerical approaches that improved the fidelity of brain simulations. His work spans network analysis, graph-based methods and morphological synthesis, resulting in 15 peer‑reviewed papers and collaborations with large initiatives like the Human Brain Project. Comfortable bridging research and software engineering, he builds and documents reproducible modelling toolchains and collaborates across interdisciplinary teams. Based in Switzerland, he combines deep mathematical rigour with practical Python tooling to translate complex biological data into validated computational models.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Imperial College London
Master of Science (MS), Physique, Mathematiques, Master of Science (MS), Physique, Mathematiques at Ecole polytechnique fédérale de Lausanne
Master of Science - MS, Physics, Master of Science - MS, Physics at EPFL
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Alexis Arnaudon - Postdoctoral Researcher at École polytechnique fédérale de Lausanne