A key focus of my research is using MRI brain imaging to study schizophrenia and other mental health disorders. In particular, MRI brain images can be used to investigate brain connectivity, by calculating MRI brain networks where nodes represent large scale brain regions and edges represent connectivity between brain regions. MRI brain networks from patients with schizophrenia often show altered connectivity patterns compared to healthy volunteers. My research explores both whether we can use these connectivity patterns to predict individual patients’ disease trajectories, and what they can teach us about the biological mechanisms underlying schizophrenia. To do that I work as part of an international, EU funded project called PSYSCAN.
I am also interested in using data science to investigate other aspects of mental health. For example, I lead a project at The Alan Turing Institute investigating the potential of transcribed speech data to predict risk for psychotic disorders.