Maxime Chamberland

Assistant Professor at Eindhoven University of Technology

Limburg, Netherlands
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Summary

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Senior
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Top School
Maxime Chamberland is an Assistant Professor and biomedical imaging specialist with 15 years of experience bridging data science, machine learning and medical image analysis, currently leading neuroimaging and scientific visualization work at Eindhoven University of Technology. He holds a Ph.D. in Biomedical Imaging and has a strong publication record and international conference presence, with technical fluency in Python and C++ applied to diffusion MRI tractography. His background includes postdoctoral roles at the Donders Institute and Cardiff University and visiting researcher stints at Boston Children’s Hospital and UMC Utrecht, reflecting a mix of academic rigor and applied collaboration. Known for turning complex diffusion datasets into interpretable visualizations, he combines deep algorithmic skills with practical software development experience dating back to web development at the Canadian Space Agency.
code15 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Biomedical Imaging, Doctor of Philosophy (Ph.D.), Biomedical Imaging at Université de Sherbrooke
languagesEnglish, French
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Github Skills (14)

mri10
opengl9
tractography9
anomaly-detection9
diffusion-mri9
visualization9
python7
segmentation5
ants3
bids3
neuroimaging2
cpp2
windows1
linux1

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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chamberm/chamberm.github.com

Jan 2015 - Mar 2022

Contributions:145 pushes, 8 branches in 7 years 3 months
chamberm/Detect

Mar 2021 - Nov 2022

Anomaly detection framework for Tractometry
Contributions:1 release, 25 commits, 28 pushes in 1 year 8 months
anomaly-detectionpythontractometrydiffusion-mrivisualization
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