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Stamatios Sotiropoulos

Associate Professor of Computational Neuroimaging

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Stamatios Sotiropoulos


Dr. Stamatios Sotiropoulos is an Associate Professor of Computational Neuroimaging in the Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham. He also holds an honorary Research Fellow position with the Centre for Functional MRI of the Brain, University of Oxford. He has a background in Computer Engineering, but he works for the last 15 years at the interface of computational modelling, MRI physics and neuroscience. His research expertise is in biophysical modelling of brain connections at different scales using multi-dimensional diffusion MRI (dMRI), for resolving tissue microstructural patterns and long-range connectivity. Towards this aim, he has developed a number of algorithmic frameworks, including parametric/non-parametric approaches for estimating neuronal fibre patterns, data integration models and tractography methods. Due to the indirect nature of dMRI, quantities of interest can only be inferred from the data and the developed frameworks uniquely allow estimation of tissue properties non-invasively and in-vivo. His software developments are publicly released through the FSL neuroimaging suite (, one of the most widely-used software packages for brain image analysis worldwide. Over the last years, Dr Sotiropoulos has been heavily involved with the design and implementation of new technologies that push the boundaries of in-vivo MRI acquisitions. Through his contributions to the cornerstone Human Connectome Project (HCP), he has been involved in large-scale efforts and developments that allow in-vivo 3T and 7T MRI acquisitions of unprecedented quality. He is currently in the Editorial Board of NeuroImage, the top neuroimaging methods journal, and contributing to a number of large-scale connectome projects (the ERC-funded developing HCP, the UK Biobank, the NIH-funded Lifespan HCP).