Multimodal INference and Data Science for Epidemiology and Treatment (MINDSET) is the research programme led by Dr Justin C Yang, Senior Research Fellow in the Division of Psychiatry at University College London.
I am a psychiatric epidemiologist using complex real-world data to understand mental health, inequalities, and care across the life course. My research combines linked administrative data, electronic health records, longitudinal and environmental data, clinical free text, and intensive measures of lived experience, using methods from epidemiology, causal inference, spatial analysis, and data science.
Across MINDSET, I lead and contribute to research programmes spanning severe mental illness, neurodivergence, addiction, and mental-health services, while also helping develop the data infrastructure, governance, and collaborative methods needed to make this research possible.
WISDOM: mental health trajectories and inequalities.
My UKRI Mental Health Platform-funded programme examines how social, emotional, environmental, and institutional experiences shape trajectories into and through severe and enduring mental illness.
HOPE-SEN: administrative data and neurodivergence.
Through my ADR UK Fellowship, I use linked national health and education data from ECHILD to investigate inequalities in school attendance, exclusion, alternative provision, health outcomes, and related experiences among neurodivergent children and young people.
UNITED: addiction treatment, services, and data.
Within this NIHR Team Science programme, I lead work examining how England’s National Drug Treatment Monitoring System can better support research, policy, clinical practice, and service improvement.
Clinical data and research infrastructure.
As Deputy Lead of the North London NHS Foundation Trust Research Database, I help enable research using routinely collected mental-health records and work with NHS and academic partners to improve access, governance, harmonisation, and cross-site research.
MINDSET is collaborative by design. I work with researchers, doctoral students, NHS organisations, public-sector data providers, charities, people with lived experience, and policy and research partners across the UK and internationally.
Across this work, I aim to develop research that is methodologically rigorous, transparent and reproducible, attentive to inequalities, and accountable to the people and communities represented in the data.
Explore the research programme, people and partnerships, publications, research funding, and leadership and recognition.