Alexis Roche
Ingénieur En Intelligence Artificielle at Thales
Valbonne, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolAlexis Roche is an Artificial Intelligence Engineer Intern with 17 years of software engineering experience, currently completing a Master's in Computer Science at Polytech Nice Sophia and working at Thales. He blends practical ML/AI research skills with hands-on engineering—evidenced by contributions to the nipy neuroimaging Python package, where he improved core fMRI statistical analysis routines and performance. Previously he built cross-platform mobile apps in React Native at Videtics, showing versatility across back-end and front-end stacks. His academic path includes international exposure at Linköping University and a PEIP engineering foundation from Polytech Montpellier, reflecting strong theoretical grounding and adaptability. Based in Valbonne, France, Alexis brings a rare mix of long-standing production experience and domain-specific open-source contributions in neuroimaging. Colleagues can expect a pragmatic engineer who moves smoothly between research code and deployable systems.
17 years of coding experience
PEIP (Parcours des écoles d'ingénieurs Polytech), PEIP (Parcours des écoles d'ingénieurs Polytech) at Polytech MontpellierDiplôme d'ingénieur, Ingénierie informatique, Diplôme d'ingénieur, Ingénierie informatique at Polytech Nice SophiaComputer Science, Computer Science at Linköping University
French, English, German
Github Skills (5)
python10
scientific-computing10
image-processing10
numpy10
mri10
Programming languages (3)
Github contributions (5)
nipy/nipy
Mar 2009 - Oct 2015
Neuroimaging in Python FMRI analysis package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:603 commits, 2 PRs, 27 comments in 6 years 7 months
Contributions summary:Alexis implemented and modified several core functions in the nipy/neurospin package. The contributions include implementing new methods, incorporating different approaches to image processing and model fitting, adding options, fixing bugs, and improving the performance of core routines. Their work primarily focuses on statistical analysis in fMRI and involves a variety of techniques and modifications within the field of neuroimaging.
neuroimagingpython
alexis-roche/variational_sampler
Sep 2012 - Apr 2015
Contributions:90 commits, 1 push in 2 years 7 months
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