Since 5/2021, Julia is Professor in Computational Imaging and AI in Medicine (TUM Liesel Beckmann Distinguished Professorship) at Technical University of Munich, and Helmholtz Distinguished Professor at Helmholtz Center Munich for Health and Environment. She retains a part-time appointment at King's College London in her current academic role.

Julia Schnabel joined King's College London in July 2015 as Chair in Computational Imaging at the School of Biomedical Engineering and Imaging Sciences, where until 2020 she has been the Director of the EPSRC Centre for Doctoral Training in Smart Medical Imaging, jointly run by King’s College London and Imperial College London. From 2018-21 she has been School Lead for Research & Impact, and Deputy Director of the NIHR funded Medtech and In vitro diagnostic Co-operative (MIC) in Cardiovascular Diseases. 

Julia is elected member of the MICCAI Society Board (2017-21) and the IEEE EMBS Administrative Committee (2017-19, re-elected 2020-22). She has also been a member of the Inria Science Board (2017-20) and the EPSRC Strategic Advisory Team (SAT) in Healthcare Technology (2018-21). In 2018 Julia was elected MICCAI Fellow "For contributions to multiple areas of medical image computing, and for distinguished service to the MICCAI conference and Society", and in 2019 she became Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). In 2021 Julia was elected Fellow of IEEE "For contributions to medical image computing", and in 2024 the German Röntgen Society awarded her the prestigious Alfred-Breit prize "For her outstanding achievements in the field of medical imaging". 

Education

• PhD in Computer Science, University College London, University of London, UK. January 1994 → February  1998.
• MSc in Computer Science, Technische Universität Berlin, Germany. October 1989 → September 1993

Honorary Posts

• Visiting Professor in Engineering Science, University of Oxford. Aug 2015 → Aug 2018
• Visiting Professor, Nagoya University Mar 2013 → Apr 2014
• Honorary Senior Research Associate, Department of Computer Science, University College London Nov 2007 → Nov 2012

Previous Posts

• Professor of Engineering Science, University of Oxford, in association with a Tutorial Fellowship in Engineering, St. Hilda’s College, Oxford. July 2014 → June 2015  

• Associate Professor  in Engineering Science (Medical Imaging), University of Oxford, UK, in association with a Tutorial Fellowship in Engineering, St. Hilda’s College, Oxford, UK. Sept 2007 → July 2014

• Research Fellow, Centre for Medical Image Computing, University College, London, UK. January 2005 → August 2007

• Research Fellow, Division of Radiological Sciences and Medical Engineering of Guy's, King's and St. Thomas' School of Medicine, King's College London, UK. September 1999 → December 2004

• Research Associate, Image Sciences Institute, University Medical Center Utrecht, NL. July 1998 → August 1999

• Research Assistant / Fellow, Department of Computer Science, University College London, UK. January 1997 → July 1998

Julia's research interests are in machine/deep learning, nonlinear motion modelling, multi-modality, dynamic and quantitative imaging with applications in cancer, cardiovascular diseases, and fetal health. Her focus is on correcting complex types of motion, such as sliding organs or fetal movements, as well as imaging artefacts. She also has an interest in early disease detection, characterisation and prediction of response to treatment, with the aim of rapid translation into clinical practice for patient stratification and improved treatment outcome.

Julia has has successfully supervised over 20 doctoral students to completion, who have been receiving a number of prestigious Young Investigator Awards and a BMVA Doctoral Thesis prize.

Julia has co-/authored well over 200 peer-reviewed publications, is on the Steering Committee of IEEE Transactions on Medical Imaging, on the Editorial Board of Medical Image Analysis, and a Founding and Executive Editor of the Journal on Machine Learning for Medical Imaging (MELBA) She was previousy also Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, and IEEE Transactions on Biomedical Engineering.

Julia was a Director of the successful International Medical Imaging Summer School (MISS) exploring the interface between medical imaging, computer vision and machine/deep learning. She has been Programme Chair of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 held in Granada, Spain (miccai2018.org), and Chair of the 7th International Workshop on Biomedical Image Registration (WBIR) 2016 held in Las Vegas, USA, in conjunction with CVPR, as well as of WBIR 2022 held in Munich Germany. Julia was General Chair of the 27th International Conference on Information Processing in Medical Imaging (IPMI 2021), General Co-Chair of WBIR 2022 held in Munich, Germany, and is General Chair of MICCAI 2024 to be held in Marrakesh, Morocco, as well as General Chair of IPMI 2027 to be held in Lake Sacacomie, Quebec, Canada.