R Benn
Postdoctoral Researcher at University of Oxford
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolR Benn is a postdoctoral researcher at the University of Oxford with eight years of experience applying machine learning to large-scale neuroimaging to link cortical geometry with human behaviour. He develops and packages reproducible ML pipelines for HPC environments, scales cross-species and population analyses (UK Biobank, HCP), and previously created precon_all, an open-source tool now adopted for non-human cortical surface reconstruction. His work revealed novel predictive signals—such as spatial proximity between visual and abstract-processing regions predicting reading ability—and he routinely validates and compares models to optimize predictive signal extraction. A skilled mentor and course organizer, he has guided multiple students to publishable work and led the field’s first cross-species neuroimaging educational course at OHBM. Based in Oxford, he combines deep methodological rigor with a knack for making messy preclinical data interoperable with human datasets.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Universidad Autónoma de MadridUniversity of Georgia
English, Spanish, French
Github Skills (47)
surface10
pypi9
permanent9
style-transfer7
python7
mri7
contrast7
blueprint4
mls4
heightmap4
image-filters4
atlas4
rome4
brain-computer-interface3
geodesy3
Programming languages (6)
Github contributions (5)
neurabenn/precon_all
Sep 2018 - Apr 2022
precon_all surface pipline
Contributions:102 commits, 4 PRs, 84 pushes in 3 years 8 months
piplinesurfacepythonpypi
neurabenn/surf_repo
Sep 2018 - Sep 2020
Contributions:18 pushes, 2 branches in 2 years
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