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Christopher Yau is a Professor of Artificial Intelligence at the University of Oxford, affiliated with the Nuffield Department of Women's and Reproductive Health and the Big Data Institute. He has a deep research interest in molecular medicine, focusing on the interpretation of high-dimensional data arising from modern molecular technologies. His work spans from core statistical machine learning to experimental investigations in wet labs and translational clinical research. He has held prestigious positions including a Turing AI Fellowship and has been involved in major UK consortia such as MUM-PREDICT and OPTIMAL, which aim to utilize healthcare records to predict health outcomes for individuals with multiple long-term conditions. He has a strong background in statistics, having completed his doctoral thesis under the supervision of Professor Chris Holmes, and has worked in key roles at Imperial College London and the Wellcome Trust Centre for Human Genetics. Yau is currently involved in MRC Methods and Research Panels, contributing to essential guidelines and collaborations in the realm of AI and health.
University of Oxford • Oxford
Leading research in Artificial Intelligence and its application to healthcare and molecular medicine.
Imperial College London • London
Worked in the Statistics Department focusing on biomedical informatics.
University of Oxford • Oxford
Conducted research in Genomic Medicine and supervised graduate students.
Department of Politics and International Relations - Higher Level English requirement.