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I am Alexis Arnaudon, a Python Engineer/Scientist, open-minded generalist, driven by tough challenges requiring analytical and numerical tools, and eager to keep writing meaningful Python code. I have built and applied computational models in neuroscience and graph theory across academia and high-performance computing environments. I enjoy turning complex biological data into workable software pipelines and reusable tooling, collaborating with interdisciplinary teams to deliver robust research outcomes.…I am Alexis Arnaudon, a Python Engineer/Scientist, open-minded generalist, driven by tough challenges requiring analytical and numerical tools, and eager to keep writing meaningful Python code. I have built and applied computational models in neuroscience and graph theory across academia and high-performance computing environments. I enjoy turning complex biological data into workable software pipelines and reusable tooling, collaborating with interdisciplinary teams to deliver robust research outcomes.

Alexis Arnaudon

Data Scientist, Full Stack Developer, AI Developer, +1

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I am Alexis Arnaudon, a Python Engineer/Scientist, open-minded generalist, driven by tough challenges requiring analytical and numerical tools, and eager to keep writing meaningful Python code. I have built and applied computational models in neuroscience and graph theory across academia and high-performance computing environments. I enjoy turning complex biological data into workable software pipelines and reusable tooling, collaborating with interdisciplinary teams to deliver robust research outcomes.…I am Alexis Arnaudon, a Python Engineer/Scientist, open-minded generalist, driven by tough challenges requiring analytical and numerical tools, and eager to keep writing meaningful Python code. I have built and applied computational models in neuroscience and graph theory across academia and high-performance computing environments. I enjoy turning complex biological data into workable software pipelines and reusable tooling, collaborating with interdisciplinary teams to deliver robust research outcomes.

Available to hire

I am Alexis Arnaudon, a Python Engineer/Scientist, open-minded generalist, driven by tough challenges requiring analytical and numerical tools, and eager to keep writing meaningful Python code.
I have built and applied computational models in neuroscience and graph theory across academia and high-performance computing environments. I enjoy turning complex biological data into workable software pipelines and reusable tooling, collaborating with interdisciplinary teams to deliver robust research outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

French

Fluent

English

Fluent

Work Experience

Research Scientist at Blue Brain Project, EPFL Lausanne

September 1, 2019 - Present

Integrated and processed heterogeneous biological datasets to inform computational modelling. Optimised biologically constrained neuronal models using genetic algorithms and Markov Chain Monte Carlo across high-dimensional, nonlinear systems. Developed, maintained, and documented software tools to support modelling workflows; provided cross-functional support to other research and engineering teams. Authored peer-reviewed papers and presented findings at international conferences. Collaborated within a core team of 5–8 researchers with ~50% software engineers, leveraging agile methodologies.

Research Scientist at Center for Mathematics of Precision Healthcare, Imperial College London

September 1, 2019 - October 16, 2025

Enhanced community detection algorithms in complex networks (greedy optimisation of nonlinear costs). Developed node centrality measures using diffusion processes and graph neural networks to optimise graph structures. Extended mathematical and numerical models to simulate and optimise a laser on graphs for spectral properties. Conducted graph-based analyses of protein structures to support drug discovery and identification of drug-binding sites. Worked in an interdisciplinary centre, supervising MSc students.