Thijs Van Der Plas
Postdoctoral Researcher at Wageningen University & Research
Netherlands
Summary
👤
Senior🎓
Top SchoolThijs Van Der Plas is a postdoctoral AI researcher with 8 years’ experience applying machine learning to geospatial and biodiversity challenges, currently based at Wageningen University & Research. With a DPhil in Computational Neuroscience from Oxford, he has a rare blend of theoretical rigor and field-facing impact—co‑authoring Nature Neuroscience work and building deployed computer-vision habitat maps for the Peak District at 12.5 cm resolution. He specialises in scalable geospatial models, multimodal AI and reproducible pipelines that integrate remote sensing with ground observations to inform conservation decisions. Known for moving projects end-to-end, he collaborates effectively with scientists, engineers and stakeholders to translate noisy, large-scale data into actionable insight. A practical tinkerer as well as a published researcher, he focuses on production-ready code and geospatial data engineering that drives measurable environmental outcomes.
8 years of coding experience
2 years of employment as a software developer
DPhil, DPhil at University of OxfordMSc, MSc at Radboud University
Github Skills (53)
pluto9
segmentation9
credit9
julia8
rotation8
image-segmentation8
interactive8
typescript8
semantic-segmentation8
visualization8
notebook8
imagenet8
image-processing8
microsoft7
reactive7
Programming languages (5)
Github contributions (5)
pdnpa/cnn-land-cover
Oct 2022 - May 2024
A repo for the CNN model
Contributions:2 PRs, 282 pushes, 2 branches in 1 year 7 months
vdplasthijs/zf-rbm
Nov 2019 - Jan 2023
zebrafish rbm project
Contributions:2 PRs, 68 pushes, 3 branches in 3 years 2 months
javazebrafishrbm
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