Chris Lambert leads a research group based at the Wellcome Centre for Human Neuroimaging (UCL) focused on anatomical phenomics — the link between differences in brain structure and variability in health and disease. His group develops advanced computational techniques to map and study brain microstructure in vivo, and has technical expertise across a wide range of methods including quantitative MRI, deep phenotyping, computational anatomy, data clustering, machine learning and big data, coupled with clinical expertise in movement disorders and neurodegeneration. Dr. Lambert leads the Quantitative MRI for Anatomical Phenotyping in Parkinson’s disease study (qMAP-PD), a longitudinal observational study to better understand phenotypic variability in Parkinson’s disease (PD). Through this effort, he aims to leverage the advanced anatomical models to develop tools that more accurately identify PD earlier, better anticipate disease trajectory, provide non-invasive quantitative biomarkers and help reveal the mechanistic basis of disease variability at the level of the individual with PD.