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Bartek Papiez is an Associate Professor leading the Medical Image Analysis Machine Learning Group at the Big Data Institute, University of Oxford. His research focuses on the integration of imaging and non-imaging modalities to develop innovative machine learning algorithms for medical imaging. With a strong emphasis on the theoretical foundations of AI/ML algorithms, his work advances image quality, image segmentation, and image registration. He applies these methodologies to longitudinal disease monitoring, leveraging patient records and Natural Language Processing to identify disease targets by integrating imaging with genetic data. Bartek graduated with a degree in Electrical Engineering from AGH University of Science and Technology in Kraków, Poland in 2009, and completed his PhD at the University of Central Lancashire in the UK in 2012. He has published extensively and received multiple awards, including the Young Scientist Award from the Medical Image Computing and Computer Assisted Intervention Society in 2013. He serves as a lecturer in Engineering Science and provides lectures on AI/ML in Healthcare and Biomedical Image Analysis.
Department of Politics and International Relations - Higher Level English requirement.