Rhydian Windsor
Applied AI Scientist at Ellison Institute of Technology Oxford
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolRhydian Windsor is an Applied AI Scientist with eight years’ experience applying deep learning to scientific and healthcare challenges, currently at the Ellison Institute of Technology. Previously he led ML research at Oxford Nanopore Technologies, developing deep models to improve the accuracy, speed and cost of genomic readouts. He holds a DPhil from Oxford’s Visual Geometry Group where his work adapted modern computer vision and weakly supervised learning to medical imaging—particularly spinal MRI—through close collaboration with clinicians and pharma partners. Comfortable moving ideas from research to product, he has hands-on experience in clinical trial monitoring, segmentation tasks and real-time ML systems from prior consultancy and internship work. His background in physics and an appetite for cross-disciplinary projects underpin a pragmatic approach to building robust, clinically relevant ML tools.
8 years of coding experience
5 years of employment as a software developer
DPhil Computer Vision, DPhil Computer Vision at University of OxfordPhysics (4 years) [MPhys] Physics, Physics (4 years) [MPhys] Physics at The University of ManchesterWrekin College
English, French, German
Github Skills (7)
robot4
command-line-tool3
slurm3
gpu2
resource-monitor2
machine-learning2
workspace2
Programming languages (3)
Github contributions (5)
rwindsor1/UKBiobankDXAMRIPreprocessing
Aug 2021 - Apr 2022
Contributions:12 commits, 1 push in 8 months
rwindsor1/Lung_Cancer_Shrinkage_vs_Erosion
Nov 2017 - Apr 2022
Contributions:17 pushes, 1 branch in 4 years 5 months
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