Mark Woolrich
DPhil MEng
Professor of Computational Neuroscience
- Director, OHBA
- Group Leader, Wellcome Centre for Integrative Neuroimaging (WIN)
Prof. Mark Woolrich's research focuses on the development of machine learning and artificial intelligence (AI) methods for analysing neuroimaging data, including functional MRI and MEG/EEG data. This allows novel questions to be asked about the function and dysfunction of the human brain.
As well as being Director of OHBA, he is a Professor of Computational Neuroscience, a Group Leader in the Wellcome Centre for Integrative Neuroimaging (WIN), and a Senior Visiting Fellow with the Department of Engineering Science, where he collaborates with the Institute of Biomedical Engineering.
Recent publications
-
Comparison between EEG and MEG of static and dynamic resting-state networks.
Journal article
Cho S. et al, (2024), Hum Brain Mapp, 45
-
Dynamic network analysis of electrophysiological task data
Journal article
Gohil C. et al, (2024), Imaging Neuroscience, 2, 1 - 19
-
The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling
Journal article
Quinn AJ. et al, (2024), Imaging Neuroscience, 2, 1 - 26