Dr Yan Ge

Dr Yan Ge is a Lecturer in Data Science and Artificial Intelligence at the School of Computing, Engineering and Physical Sciences (CEPS), the University of the West of Scotland, London. He has extensive experience across teaching, research, and cross-disciplinary collaboration. Prior to joining UWS, he served as a Lecturer in Financial Technology at the University of Bristol and as a Post-doctoral Researcher in Machine Learning in the Department of Computer Science at University College London, where he developed computer vision techniques for computer-assisted surgical interventions in healthcare.

Dr Ge received his BSc degree in Software Engineering from Jiangxi Agricultural University, China, an MSc degree in Advanced Software Engineering and a PhD in Machine Learning, both from the University of Sheffield, United Kingdom. He is a Fellow of the Higher Education Academy.

As an educator, he is passionate about equipping students with rigorous, practical skills in computing and data science. He teaches modules in Programming, AI and data analytics and supervises Master’s students, helping them connect theoretical foundations with real-world applications.

His research focuses on machine learning and deep learning for graph-structured data, with applications in financial technology, including stock movement prediction, credit card fraud detection, knowledge graph-based recommender systems, and systemic risk analysis. His work was supported by Amazon-funded research grant. He has published in leading venues such as Nature Machine Intelligence, Pattern Recognition and Knowledge-Based Systems. He serves as a reviewer for journals including Pattern Recognition, Knowledge-Based Systems and IEEE Transactions on Evolutionary Computation. Bridging machine learning research and industry practice, Dr Ge is committed to developing trustworthy and impactful AI technologies.