Sébastien Tourbier
Senior Data Engineer - Research & Development
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolSébastien Tourbier is a Senior Data Engineer with a decade of experience building reproducible data and ML infrastructures for healthcare and neuroimaging research. Trained at EPFL (MSc) and UNIL (PhD) in signal and medical image processing, he has bridged academic innovation and production software—shipping C++ and Python toolkits like MIALSRTK and driving the Connectome Mapper release for large-scale connectomics. He has implemented performant imaging pipelines and platform integrations for federated initiatives (Human Brain Project, MIP, HIP) and now leads data/ML infrastructure for R&D at AC Immune. Notably, he combines deep algorithmic expertise (graph cuts, super-resolution MRI) with hands-on engineering practices—automated testing, containerized tooling, and data curation—to make complex biomedical workflows robust and reproducible. Based in Lausanne, he thrives at the intersection of research, software engineering, and practical deployment of advanced image analysis.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) in Life Sciences, Medical Image Processing, Doctor of Philosophy (PhD) in Life Sciences, Medical Image Processing at Université de LausanneMaster of Science (MSc), Communication Systems, Specialization in signal and image processing, 5.17/6, Master of Science (MSc), Communication Systems, Specialization in signal and image processing, 5.17/6 at Ecole polytechnique fédérale de Lausanne
French, English
Stackoverflow
1reputation
0reached
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0questions
Github Skills (94)
computational-neuroscience10
python10
image-processing10
bids10
medical-image-analysis10
specification10
medical10
image-analysis10
brain-imaging10
singularity10
electrophysiology10
nifti10
mapper10
mri10
biology10
Programming languages (9)
Github contributions (5)
sebastientourbier/mialsuperresolutiontoolkit
Mar 2017 - Nov 2020
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ image processing tools necessary to perform motion-robust super-resolution fetal MRI reconstruction.
Contributions:1 release, 1 PR, 194 pushes in 3 years 8 months
mri-reconstructionimage-analysisreconstructionmedical-imageconsists
connectomicslab/connectomemapper3
Jun 2017 - Oct 2022
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Contributions:22 releases, 80 reviews, 3174 commits in 5 years 5 months
brainconnectomepythonbrain-parcellationdmri
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