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
-
Neurophysiological progression in Alzheimer's disease: insights from dynamic causal modelling of longitudinal magnetoencephalography
Journal article
Jafarian A. et al, (2025), Human Brain Mapping
-
Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models
Journal article
WOOLRICH M. et al, (2025), Brain Stimulation
-
Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models
Journal article
Makkinayeri S. et al, (2025), Brain Stimulation