Back to team
Sarah’s research applies machine learning, network science and Natural Language Processing to better understand and predict mental health conditions. A main focus is using brain connectivity derived from MRI to predict disease trajectories for patients with schizophrenia. Sarah is also interested in using transcribed speech data to perform similar prediction problems.
Institution: Cambridge University
Position: Departmental Early Career Academic Fellow, Accelerate Programme