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Cheng Ouyang is a Departmental Lecturer at the Institute of Biomedical Engineering, Department of Engineering Science at the University of Oxford. His research revolves around data-efficient, robust, and user-friendly machine learning methodologies for medical image and signal computing. His current research topics significantly focus on limited domain generalization, few-shot and zero-shot learning, uncertainty modeling, and multimodal machine learning for the interpretation and analysis of medical data, primarily targeting ultrasound and MRI images. Prior to his appointment at Oxford, he served as a postdoctoral researcher specializing in cardiac imaging at the Institute of Clinical Sciences, Imperial College London. Cheng received his PhD from the Department of Computing at Imperial College London, where he honed his expertise in machine learning applications in medical science with a particular emphasis on understanding cardiovascular diseases.
University of Oxford • Oxford
Teaching and research in machine learning applications for biomedical data.
Department of Politics and International Relations - Higher Level English requirement.