Sam is looking at techniques to identify brain networks by examining the spontaneous activity of the brain at rest.
Sam graduated from Cambridge with an MEng in Information and Computer Engineering. Upon completion, he began the Life Sciences Interface Doctoral Training Centre at Oxford, where the focus on mathematical and computational techniques for the biomedical sciences naturally led into the DPhil on neuroimaging analysis techniques.
His main focus is novel Bayesian techniques for identifying resting state networks from both MEG and fMRI data. He is also a member of the analysis group at FMRIB.
Large-scale probabilistic functional modes from resting state fMRI.
Harrison SJ. et al, (2015), Neuroimage, 109, 217 - 231
Emergence of embryonic pattern through contact inhibition of locomotion
Davis JR. et al, (2012), Development, 139, 4555 - 4560