My academic background is rooted in experimental design, spanning cognitive, neuroimaging, and neuropsychological sciences. In recent years, my research has shifted towards the exploration of large, multimodal medical datasets. My aim is to identify key features within these datasets — particularly those related to neuroimaging — that can predict disease states and potentially contribute to our understanding of their mechanisms. My current focus is on neurodevelopmental data, with a specific interest in detecting early neuroimaging markers that are associated to future cognitive development. Lead researcher on the BARCODE project.