معرفی
František Váša is a Lecturer in Machine Learning and Computational Neuroscience at King's College London, based in the Department of Neuroimaging within the School of Neuroscience and the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on developing quantitative methods for analyzing structural and functional brain imaging data, particularly using network science, machine learning, and deep learning techniques. Key areas include pre-processing and enhancement of ultra-low-field neuroimaging, null models for statistical inference in network neuroscience, and clinical applications of neuroimaging.
He co-leads third-year modules on Machine Learning in Neuroscience and Computational Neuroscience for the BSc Neuroscience and Psychology program. His work emphasizes methodological rigor and translational impact, with recent contributions to super-resolution techniques for paediatric MRI and global neuroimaging initiatives like UNITY for low-resource settings.
Collaborators include prominent figures such as Prof Robert Leech (King's College London), Prof Edward Bullmore (University of Cambridge), and Dr Bratislav Mišić (Montréal Neurological Institute). His research bridges theoretical frameworks with practical clinical applications, aiming to improve diagnostic tools and understand neurodevelopmental processes.
