Dr Jayati Das-Munshi

Biography

Dr Das-Munshi is a Senior Lecturer in Social Epidemiology with King's College London and Honorary Consultant Psychiatrist with South London & Maudsley NHS Trust. She has led work which use large-scale routine data sources informed by qualitative methodologies, to understand physical health inequalities in people with mental disorders, with a focus on ethnic minority health. She also leads a linkage of UK census data to electronic health records from South London & Maudsley Trust, to enable an assessment of the social determinants of mental health both in terms of onset and in outcomes (mortality, admissions, employment). With colleagues in the NIHR SLaM BRC, she has also developed text mining applications to derive information on employment/occupation from the free text of health records. With Professor George Ploubidis (Director of CLS, UCL) she co-leads a platform on maximising datasets/analytic methods, for the ESRC Centre For Society and Mental Health, at King's College London.

Research interests

• Data science methods (Data linkage, Natural Language Processing (NLP) of free text to understand inequalities), applied statistical methods for epidemiology (multi-level modelling, analysis of cohorts/ prospective data)
• Mental health inequalities (mortality and physical health in people with severe mental illness)
• Ethnic minority mental health inequalities (pathways into care, access to treatments, physical health/ mental health/multimorbidities, impact of neighbourhoods)
• Social Psychiatry/social epidemiology

Teaching

• Co-lead for module in Applied Statistical Methods in Psychiatric Epidemiology, offered to students primarily enrolled in the Global Mental Health MSc course offered across KCL and the London School of Hygiene & Tropical Medicine
• Fellow of Higher Education Academy (FHE)

PhD supervision

Dr Das-Munshi has a specific interest in ethnic minority mental health inequalities but has conducted/supervised work across a range of other issues, including intersectional/multiple disadvantage, neighbourhood/area-level health inequalities, and physical health inequalities in people with mental disorders. She would be interested to supervise students who are keen to use data linkage/electronic health records or other secondary data sources to address questions within these broad topic areas and who have an interest in developing high quality statistical/epidemiological methods when working with data.