Ben Jeurissen is an Associate Professor and researcher with 13 years of experience specializing in computational modelling and optimization for biomedical imaging and image analysis. Based at the University of Antwerp, his career progressed from PhD work to senior research and a postdoctoral fellowship, including a visiting stint at the Florey Institute, reflecting deep academic and collaborative roots. He combines strong computational skills and practical software engineering—evidenced by platform-porting and data-handling contributions to the widely used MRtrix3 diffusion MRI toolbox—with domain expertise in neuroimaging. Ben holds multiple MSc degrees (Biomedical Imaging, Film & Visual Culture, Computer Science) and a PhD in Science, an uncommon interdisciplinary background that informs both technical rigor and visual/interpretive insight. His work often focuses on making advanced MRI analysis tools robust across operating systems and heterogeneous data, bridging research methods and reproducible tooling.
13 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Science, Doctor of Philosophy (Ph.D.), Science at University of Antwerp
MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density
Role in this project:
Backend Developer
Contributions:40 reviews, 173 commits, 91 PRs in 10 years 1 month
Contributions summary:Ben primarily focused on modifying and adapting the MRtrix3 codebase for compatibility with various operating systems and build environments, particularly MinGW on Windows. They addressed compilation issues, resolved name clashes, and added platform-specific code. The contributions involved fixing bugs and modifying the code to support DICOM data and non-normalized gradient orientations, indicating a focus on data processing and analysis within the MRtrix3 ecosystem.
Constrained estimators for any model that can be cast as y=exp(A*b)
Contributions:2 PRs, 9 pushes, 2 branches in 4 months
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