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As an Academic Clinical Lecturer in psychiatry at the University of Cambridge, and a visiting researcher at Imperial College London/MRC London Institute for Medical Sciences (LMS), I focus on unraveling the immune and cardio-metabolic landscape of early psychosis and schizophrenia using diverse scientific approaches. For my research, in the past I have used clinical research methods such as Magnetic Resonance Imaging and biomarker analysis to delve into cardiac and adipose tissue changes in schizophrenia. This exploration has led to the formulation of a novel hypothesis regarding the potential causes of cardiac alterations in this condition. Through psychiatric clinical epidemiology methods, I've developed longitudinal "virtual cohorts" of psychiatric patients, utilizing large datasets to characterize immune and metabolic markers across different stages of illness. This work has culminated in the development of risk prediction models for health outcomes in psychosis, including the creation of a clinically useful risk calculator for treatment-resistant schizophrenia, named MOZART, which has earned recognition, including the Schizophrenia International Research Society Early Career Award. I have also completed a clinical PhD in bioinformatics on the genetics of schizophrenia at Imperial College London. Apart from my research, I'm deeply engaged in medical education, teaching medical students and supervising research projects. I'm also committed to mentorship, having initiated and managed a mentoring program within the Cambridge NHS Trust. Looking ahead, my aim is to further refine and validate MOZART using larger datasets and industry collaborations, with the ultimate goal of integrating it into clinical practice. I aspire to become a leading figure in the field, continuing my work as an academic clinician in psychiatry, and contributing to advancements in understanding and treating mental illness.
MOZART: a risk prediction tool for treatment resistant schizophrenia
Commonly recorded clinical information at psychosis onset including blood markers can help predict whether a person will develop treatment resistant schizophrenia.