Alexis Arnaudon
Développeur Data Science
Le Mont-sur-Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolAlexis 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
7 years of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Imperial College LondonMaster of Science (MS), Physique, Mathematiques, Master of Science (MS), Physique, Mathematiques at EPFL
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (116)
computational-neuroscience10
python10
feature-extraction10
windows10
octave10
clustering10
scientific-computing10
classification-algorithm10
genetic-algorithm10
neurons10
linux10
electrophysiology10
matlab10
markov10
clustering-algorithm10
Programming languages (6)
Github contributions (5)
arnaudon/NeuroR
May 2020 - Jul 2021
A collection of tools to repair morphologies
Contributions:130 pushes, 20 branches in 1 year 2 months
neuroimagingneuronsmorphologieselectrophysiologyrepair
barahona-research-group/hcga
Mar 2019 - Jan 2022
Highly Comparative Graph Analysis - Code for network phenotyping
Contributions:5 releases, 11 reviews, 355 commits in 2 years 10 months
graph-analysisnetworksfeature-extractionclassification-algorithmgraph-features
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