Adrian Onicas

PostDoc in Computer Vision Data Science

Adrian’s background is in clinical psychology (MSc) and computational neuroscience (Ph.D.). His research interests cover the replicability of neuroimaging methods and applications of advanced neuroimaging techniques (MRI, fMRI, and DTI) in neurological disorders. He has experience with the analysis of large neuroimaging datasets and has taken part in some significant projects in the field, including the Neuroimaging Analysis Replication and Prediction Study (NARPS) and the Advancing Concussion Assessment in Pediatrics (A-CAP) study. Previous work has focused on non-linear methods for signal processing, replicability of neuroimaging analysis pipelines, multisite data harmonization, and brain connectivity alterations following traumatic brain injury.