Sammy Danso is a Senior Lecturer and AI researcher with over a decade of experience applying machine learning and data harmonisation to real-world health challenges, particularly in neuroscience, dementia and epidemiology. He combines academic rigor (PhD in Artificial Intelligence) with hands-on engineering of data integration pipelines and ontology mapping across multinational studies, having led harmonisation efforts for IMI and large-scale epidemiological projects. Sammy has bridged research and policy through roles at the Information Commissioner’s Office and collaborations with clinical and domain experts in radiology, neurology and psychology to tackle Explainable AI, privacy and transparency in health data. He is skilled at turning heterogeneous clinical and imaging datasets into pragmatic analytics workflows and has experience building the first statistical ML part-of-speech tagger for Scottish Gaelic—evidence of his knack for applying AI to niche, high-impact problems. Based in Musselburgh, Scotland, he continues to lead research data management and disease-modelling activities at major UK institutions.
10 years of coding experience
6 years of employment as a software developer
BSc, Computing, BSc, Computing at University of Sunderland
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at University of Leeds
MSc, Software Engineering, MSc, Software Engineering at Bournemouth University
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Sammy Danso - Senior Lecturer at University of Sunderland