Marc Modat is a Reader in the School of Biomedical Engineering & Imaging Sciences at King's College London. He is an expert in medical image registration and the main developer of NiftyReg, an open source software for efficient image registration. Over the years, Marc has been developing numerous techniques for registration including near real time registration, biomechanically constrained model or symmetric and invertible diffeomorphisms. He has also developed application-tailored algorithm for surgical guidance, both for brain and musculoskeletal interventions. NiftyReg is currently used in large scale clinical research studies as well as in clinical trials.

His research interests include, amongst others, the development of novel imaging biomarkers, especially for monitoring the elderly brain, using magnetic resonance imaging or positron emission tomography. He is also involved in the development of algorithmic tools for surgical planning and surgical guidance, using model-based and machine learning approaches. Marc is also involved in the setup and deployment of data analytics platforms, which encompass secured data transfer, storage and automated processing. Such platforms are currently used for large scale international clinical studies.