Senior Research Associate
Computer Science and Technology
Network Science, Machine Learning, MRI, Schizophrenia, Mental Health
My 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. I am also interested in using transcribed speech data to perform similar prediction problems.
I completed my PhD at the Cambridge Physics department, in the Theory of Condensed Matter group (TCM). I then moved to the Brain Mapping Unit at the Cambridge Psychiatry department to begin my postdoctoral work. In 2017, I won a Henslow Research Fellowship at Lucy Cavendish College and in 2019 I was awarded a Turing Fellowship to investigate whether speech can be used to detect psychotic disorders. From October 2020, I have been employed as a Departmental Early Career Fellow at the Department of Computer Science and Technology.