Alex Daniel
Research Fellow at University of Nottingham
Broxtowe, England, United Kingdom
Summary
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Senior🎓
Top SchoolAlex Daniel is a computational physicist and Research Fellow at the University of Nottingham with nine years’ experience applying advanced MRI and data-science techniques to renal imaging and transplant viability assessment. He combines a PhD-level background in renal MRI and biomedical imaging with hands-on data-science consulting across electrical infrastructure and telecommunications, bridging academic research and industry projects. His work emphasizes novel computational analysis of MRI data to extract clinically relevant biomarkers prior to transplant surgery, reflecting both deep domain knowledge and practical problem-solving. Based in Broxtowe, England, he also brings sustained technical leadership from years running live sound and theatre electrics, a role that sharpened his systems-thinking and operational resilience. Colleagues describe him as a multidisciplinary researcher who translates complex physics and algorithmic approaches into usable clinical and commercial insights.
9 years of coding experience
Doctor of Philosophy - PhD, Renal MRI, Doctor of Philosophy - PhD, Renal MRI at University of NottinghamDoctor of Philosophy (Ph.D.), Biomedical Imaging, Doctor of Philosophy (Ph.D.), Biomedical Imaging at University of OxfordWoodhouse Grove School
Github Skills (38)
data-formats10
python-development10
qt10
python10
toolbox10
brain-imaging10
spyder10
ide10
language-server-protocol10
imaging10
anaconda10
nifti10
neuroimaging10
minc10
dicom10
Programming languages (3)
Github contributions (5)
alexdaniel654/Segmentation_Metrics
May 2022 - Feb 2026
Generate segmentation accuracy metrics based on binary masks
Contributions:49 PRs, 72 pushes, 8 branches in 3 years 9 months
segmentation
UKRIN-MAPS/ukat
Jun 2020 - Nov 2022
UKRIN Kidney Analysis Toolbox
Contributions:1 release, 51 reviews, 313 commits in 2 years 5 months
toolboxkidney
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