I am a Senior Research Associate in Immunopsychiatry researching at the University of Bristol Medical School, where I am exploring the relationship between immunological responses and psychiatric outcomes using machine learning techniques. Before this I completed my PhD in Digital Health and Care also at the University of Bristol, where I looked at using machine learning to explore predictive modelling using risk and protective factors for depression. I am passionate about many aspects of psychiatric science and mental health, particularly in psychopharmacological approaches to depression symptom management, and using novel data science methods to answer epidemiological research questions.
High misdiagnosis rates between bipolar and major depressive disorder cause real harm to patients and services. This new neuroimaging study tested whether brain connectivity and machine learning could do a better job of telling the two apart, with interesting but limited results.
People with severe mental illness often face years of poor health before diagnosis. A new study uses machine learning and clinical notes to map the early warning networks of symptoms that could help us intervene earlier.
