Stelios Logothetis
Data Scientist
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolStelios Logothetis is a Data Scientist with nine years of experience focused on developing efficient deep learning methods for survival analysis, currently conducting Health Data Science research at the University of Cambridge. He combines rigorous academic training—a PhD in Health Data Science from Cambridge and an MEng in Computer Science from Durham—with industry experience at Evergreen Life and a technology internship at Deutsche Bank. His work emphasizes practical, deployable models for clinical and health-platform settings, bridging statistical rigor with engineering-minded implementation. Notably, he brings domain expertise in survival modelling rather than general-purpose ML, making him adept at extracting prognostic insights from complex health data.
9 years of coding experience
Doctor of Philosophy - PhD, Health Data Science, Doctor of Philosophy - PhD, Health Data Science at University of CambridgeMaster of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Durham University
Github Skills (6)
unconf8
r-package8
survival6
reproducible-research5
transformation4
data-transformation2
Programming languages (4)
Github contributions (5)
stybl/DistributionControl
Nov 2016 - Mar 2017
Contributions:95 commits, 70 pushes, 2 branches in 4 months
stelioslogothetis/N-naive-Bayes
Nov 2021 - Jan 2023
Contributions:11 commits, 12 pushes, 1 branch in 1 year 1 month
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