I joined the Precision Health Informatics Lab at King’s College London in 2019 as a postdoctoral research fellow. I work with clinicians at South London and Maudsley NHS Foundation Trust (SLaM) on applying text mining, machine learning and statistical models to electronic health records, in order to identify risks of mental health problems such as psychosis and suicide and investigate the dynamic interactions between physical and mental health problems. We aim to improve healthcare through digital technologies and accelerate their delivery to patients.
Before joining KCL, I was a PhD student in Economics at the University of Southampton, jointly trained at The Alan Turing Institute, where I worked on applying network analysis, text mining and econometric techniques to investigate the spread of eating disorders over online social networks.
Health informatics and data science; Text mining; Network analysis; Econometrics.
- Identifying encephalopathy in patients admitted to an intensive care unit: going beyond structured information using natural language processing
- Corrigendum “Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting"
- Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting
- An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack
- Patient-centric characterization of multimorbidity trajectories in patients with severe mental illnesses: A temporal bipartite network modeling approach