Dr Robinson's research focuses on the development of computational methods for brain imaging and neuroscience, spanning classical as well as AI methods. Most notably, her software for cortical surface registration (Multimodal Surface Matching, MSM) was central to the development of  the Human Connectome Project’s  (HCP)“Multi-modal parcellation of the Human Cortex “ (Glasser et al, Nature 2016), and has featured as a central tenet in the HCP’s paradigm for neuroimage analysis.  Her current research interests are focused on the development of geometric deep learning tools for modelling functions on the cortical and cardiac surfaces, optimising image processing pipelines  open data collections such as the HCP, developing HCP and UK Biobank, and building learning-based models of neurological processes (neurological Digital Twins).