Research interests: Medical Image Analysis, Generative Models, Bayesian Analysis, Pattern Recognition and Statistical Learning.
I work in both the Centre for Medical Image Computing (CMIC) and the Dementia Research Centre (DRC) at University College London. My current research follows two strands: Firstly, the investigation of methodologies for analysing diffusion magnetic resonance images, with the aim of developing sensitive and reliable biomarkers of neurodegenerative disease. My other work focuses on the development of generative Bayesian models for image registration that allow the quantification of registration uncertainty and facilitates model selection, with application to describing group differences or longitudinal changes in brain morphology.
I studied Computer Science with Image and Multimedia at the University of Southampton, graduating with MEng 1st class in 2008 with the "Quantum Research Group" award for academic achievement. I also received the "MISYS" scholarship for academic achievement for 3 years during my undergraduate studies. I subsequently received my DPhil (PhD) from the University of Oxford in 2013, jointly supervised by Dr Julia Schnabel and Dr Mark Woolrich, within the Institute of Biomedical Engineering and the Oxford Centre for Functional MRI of the Brain. The focus of my DPhil was in the development of non-rigid registration methodology with application to the detection of Alzheimer's Disease through the use of biomarkers derived from structural MR images of the brain. Specifically, my thesis explores the use of Bayesian statistical methods in facilitating adaptive regularisation and providing estimates of registration uncertainty. I subsequently describe approaches for incorporating registration uncertainty into statistical analysis for the detection of Alzheimer's Disease. After moving to UCL for a post-doc, I received a MICCAI young scientist award in 2013 for my work on a Bayesian registration model that allows for spatially adaptive regularisation. I am currently co-organising a workshop on Bayesian and Graphical Models for Biomedical Imaging (BAMBI), which will take place during MICCAI 2014 in Boston.