Ziyuan is a PhD student in Neuroimaging Research and the EPSRC DRIVE-Health CDT. She obtained her BSc in Biomedical Sciences at University College London, where her final-year project on genome-wide association studies of psychiatric diseases sparked her interest in applying computational algorithms to large-scale neuroscience research. She then completed her MSc in Translational Neuroscience at Imperial College and gained research assistant experience at both Imperial and King’s College London. In these roles, she applied multivariate and machine learning methods to cognitive, clinical and recruitment data, exploring factors underlying differences in cognitive abilities and engagement with online cognitive tasks. She also assisted in teaching and supervising projects for the next cohort of MSc Translational Neuroscience students. Supervised by Professor Adam Hampshire and Professor Steve Williams, Ziyuan’s PhD research focuses on model-based techniques for precise and sensitive remote cognitive assessments. The project aims to address cultural and device-related variability in digital assessments and to decompose multiple dimensions of cognitive domains. The model-derived data will then be combined with neuroimaging and serum biomarkers to map the neural correlates of specific cognitive processes.