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
tensorflow10
deep-neural-networks10
python10
ml10
trading-bot9
linear-algebra9
bitcoin9
openmp8
numerical6
matlab5
ubuntu3
cryptocurrency3
Programming languages (4)
Github contributions (5)
sdrelton/cryptocoin-indicator
Jun 2016 - Sep 2017
Contributions:4 commits, 1 PR, 3 pushes in 1 year 3 months
fluctuationscryptocurrencybitcoincryptocoinubuntu
sdrelton/PREDICT
Jan 2025 - Mar 2026
PREDICT - Pragmatic Recalibration and Evaluation of Drift In Clinical Tools
Contributions:1 release, 17 reviews, 25 PRs in 1 year 1 month
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