Konstantin Georgiev is a Health Data Scientist and postdoctoral fellow at the University of Edinburgh with eight years' experience building multimodal AI for clinical decision support. He develops and validates fusion models that combine EHRs, ECGs and chest X-rays to improve diagnosis and risk forecasting for acute cardiac conditions across NHS Scotland, with a strong emphasis on Explainable and Trustworthy AI. His PhD work applied data-driven algorithms to optimise care allocation for older adults with geriatric syndromes, and he has production-oriented experience deploying model-agnostic explainers (LIME/SHAP) and pipelines for case-finding and prescribing surveillance. Comfortable translating research into clinical tools, he has partnered with multiple NHS regions to embed explainability and fairness into routine healthcare analytics.
8 years of coding experience
1 year of employment as a software developer
PhD, Precision Medicine (Data-driven approaches for geriatric medicine), PhD, Precision Medicine (Data-driven approaches for geriatric medicine) at The University of Edinburgh
MSc, Artificial Intelligence, MSc, Artificial Intelligence at University of Aberdeen
BEng, Software and Internet Technologies, BEng, Software and Internet Technologies at Technical University of Varna
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