Samuel Relton
Associate Professor
Leeds, England, United Kingdom
Summary
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Senior🎓
Top SchoolSamuel Relton is an Associate Professor in Health Data Science at the University of Leeds with 12 years of experience applying advanced statistics and machine learning to real-world healthcare problems. His expertise centers on electronic health records, complemented by work in medical imaging and video analysis, and he emphasizes pragmatic, patient-centered outcomes in all projects. Funded primarily by the NIHR, he bridges high-performance computing and applied AI to enable safe analysis of sensitive health data. Trained as an applied mathematician with a PhD in numerical linear algebra, he brings deep theoretical insight into matrix functions and error analysis to practical model development. Colleagues value his ability to translate complex methods into deployable solutions for clinical settings while keeping computational rigor front and center. Based in Leeds, he combines academic leadership with hands-on research that routinely moves from algorithmic innovation to measurable improvements in patient care.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at The University of Manchester
Github Skills (16)
neural-network10
machine-learning10
deep-learning10
deep-neural-networks10
tensorflow10
python10
data-science10
ml10
trading-bot9
bitcoin9
openmp8
cryptocurrency8
linear-algebra8
numerical7
visualization5
Programming languages (5)
Github contributions (5)
sdrelton/cryptocoin-indicator
Jun 2016 - Sep 2017
Contributions:4 commits, 1 PR, 3 pushes in 1 year 3 months
fluctuationscryptocurrencybitcoincryptocoinubuntu
sdrelton/perfprof
Jan 2015 - Jul 2020
Convenience function for plotting performance profiles in Python.
Contributions:9 commits, 2 PRs, 7 pushes in 5 years 7 months
pythonconvenienceperformanceplottingvisualization
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