Maxime Chamberland
Assistant Professor at Eindhoven University of Technology
Limburg, Netherlands
Summary
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Senior🎓
Top SchoolMaxime 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.
15 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Biomedical Imaging, Doctor of Philosophy (Ph.D.), Biomedical Imaging at Université de Sherbrooke
English, French
Github Skills (18)
mri10
diffusion-mri9
visualization8
opengl8
tractography8
anomaly-detection7
python6
bundle5
semantic-segmentation4
segmentation4
windows1
volume-rendering1
linux1
viewer1
ants1
Programming languages (2)
Github contributions (5)
chamberm/Detect
Mar 2021 - Nov 2022
Anomaly detection framework for Tractometry
Contributions:1 release, 25 commits, 28 pushes in 1 year 8 months
anomalypythontractometrydetectionanomaly-detection
chamberm/chamberm.github.com
Jan 2015 - Mar 2022
Contributions:145 pushes, 8 branches in 7 years 3 months
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