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I am currently a visiting researcher at Imperial College London as part of the Mood Instability Research group. I am particularly interested in applying computational approaches, such as machine learning to complex data, to better understand mental health. Machine learning is a computational approach that can examine multiple factors simultaneously and identify patterns in data sets, that may not be apparent when using traditional statistical approaches.

The COVID-19 pandemic didn’t just spread loneliness and hopelessness - it pushed the already-stretched mental health services past breaking point. Mental health disorders rose by 25% in the pandemic’s first year alone. Traditional, in-person care couldn’t keep up. So, healthcare systems turned to digital interventions delivered through a patient’s phone. 85% of NHS trusts in England now offer digital mental health interventions to adult patients.