Yongxin Yang

Dr. Yongxin Yang is a Lecturer in Financial Technology at Queen Mary University of London (QMUL), affiliated with the School of Electronic Engineering and Computer Science and the Centre for Multimodal AI. He holds a PhD from QMUL (2017), supervised by Prof. Timothy Hospedales. His research focuses on machine learning (transfer learning, domain adaptation) and its applications in finance (derivatives pricing, portfolio optimization) and medical genetics. Prior to his current role, he was a Lecturer in Machine Learning at the University of Surrey. He is an ACCA-certified accountant and professional web designer, with industry experience through co-founded ventures and consulting roles.

Research interests include: Machine Learning, Computational Finance, and Medical Genetics. Notable work spans medical imaging fairness (e.g., MEDFAIR), option pricing via neural networks, and domain generalization techniques like MixStyle. His contributions bridge theoretical machine learning with practical applications in finance and healthcare.

He has authored numerous publications in top venues (NeurIPS, ICML, CVPR, ICLR) and collaborates with industry partners. His work emphasizes interdisciplinary approaches, combining finance, genetics, and AI to solve real-world challenges.