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James Chapman

PhD Student in Machine Learning and Neuroimaging

James Chapman is a PhD student in Machine Learning and Medical Imaging at University College London (UCL). His research focuses on developing scalable algorithms for interpretable multiview machine learning, particularly applied to high-dimensional biomedical data. He has authored the Python package "cca_zoo" for multimodal learning and has published work as a first author in prestigious conferences such as NeurIPS and ICLR.12

Chapman holds an MEng in Engineering, Economics & Management from the University of Oxford, graduating with first-class honors. He has also worked as a teaching assistant and lecturer at UCL, contributing to courses like Foundations of AI, Supervised Learning, and Numerical Optimization. His professional experience includes internships at the Bank of England, where he applied reinforcement learning to economic models, and a role as a quantitative research analyst at M&G Investments.12

Beyond academia, he is skilled in various programming languages (Python, R, MATLAB) and machine learning tools (TensorFlow, PyTorch). He also enjoys rowing, Formula 1, and supporting Reading FC.2

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James Chapman
James Chapman, photo 1
James Chapman, photo 2
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Location

London, England, United Kingdom