Alex 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 Nottingham
Doctor of Philosophy (Ph.D.), Biomedical Imaging, Doctor of Philosophy (Ph.D.), Biomedical Imaging at University of Oxford
Contributions:2 PRs, 15 pushes in 4 years 3 months
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Alex Daniel - Research Fellow at University of Nottingham