Summary
Mark Woolrich is a Professor of Computational Neuroscience and Head of Analysis at the Oxford Centre for Human Brain Activity with over 13 years of experience leading methodological research in neuroimaging. He combines roles across OHBA, FMRIB, WIN and the Department of Engineering Science to develop Bayesian, biophysical and machine-learning methods for fMRI, diffusion MRI and MEG/EEG analysis. His work emphasizes probabilistic biophysical modelling and signal-processing techniques that enable novel inferences about brain function and dysfunction. As an EPSRC Advanced Research Fellow and long-time group leader, he bridges academic research and engineering practice to deliver robust, reproducible analysis tools. Based in the Greater Oxford area, he brings deep interdisciplinary fluency—spanning engineering, statistics and neuroscience—that often uncovers subtle measurement biases and model-driven opportunities in multimodal data.
13 years of coding experience
3 years of employment as a software developer
Research Doctorate, Biomedical/Medical Engineering, Research Doctorate, Biomedical/Medical Engineering at University of Oxford