Multimodal INference and Data science for pSychiatric Epidemiology and Treatment (MINDSET) is a research programme led by Dr Justin C Yang, Senior Research Fellow in the Division of Psychiatry at University College London. It brings together psychiatric epidemiology, causal inference, and data science to improve mental health outcomes.
Our work focuses on making better use of large, complex, and multimodal data to generate insights that can inform research, policy, and care. We specialise in proximal causal inference, natural language processing and large language models, and spatial analysis, with applications across severe mental illness, substance use, and neurodevelopmental conditions.
Current projects include an ADR UK-funded study using linked health and education data to understand risks for poor outcomes among neurodivergent young people, and a UKRI Mental Health Platform-funded project examining how socioemotional experiences shape trajectories into severe mental illness.
MINDSET works across the public, private, and voluntary sectors, with a commitment to open science, equitable research inclusion and engagement, and participatory co-production. Our broader interests also include social and spatial determinants of mental health, applied health and social care research, and the role of online health discourse and mis/disinformation in civil society.