MINDSET is collaborative by design. Across different projects I work with researchers and trainees, NHS and public-sector data partners, treatment services, lived-experience contributors, and academic groups. The mix depends on the question; the people and organisations below represent active or longstanding relationships across the programme.

Research team

Headshot of Justin C Yang
Dr Justin C Yang
Senior Research Fellow · MINDSET Lead
Psychiatric epidemiology · health data science · causal inference
UCL Profile
Headshot of Nathalie Rich
Dr Nathalie Rich
Research Fellow
Electronic health records · psychiatric epidemiology
UCL Profile
Headshot of Yunsoo Kim
Dr Yunsoo Kim
Research Fellow
Natural language processing · large language models
Website

Trainees

Headshot of Vanessa Cieplinska
Vanessa Cieplinska
PhD Student
School attendance and educational attainment in children with neurodevelopmental conditions
Headshot of Alua Yeskendir
Alua Yeskendir
PhD Student
Health and social inequalities in psychiatric disorders

I also supervise taught projects and contribute to doctoral thesis committees and wider trainee development. See Teaching & Supervision for the broader training programme.

The MINDSET research ecosystem

Many partners contribute across more than one area of the programme.

MINDSET Partners and expertise across four connected areas
Population, place & linked data

Following mental health across systems and populations

National administrative, longitudinal, environmental, and spatial data; population data science; linkage; and infrastructure for studying trajectories and inequalities at scale.

Clinical data & infrastructure

Turning routinely collected records into research evidence

Electronic health records, clinical text, governed data access, harmonisation, and methods for research across mental-health services.

Experience, biology & methods

Connecting mechanisms, context, and measurement

Intensive longitudinal and lived-experience measures, social and environmental context, biomarkers and immunology, neuroimaging, causal inference, systems thinking, prediction, and inequalities.

Services, policy & lived and living experience

Keeping research connected to lived and living experience, care, and decision-making

Lived- and living-experience expertise, treatment-provider expertise, public involvement, service context, and partnerships that help make questions and interpretation useful beyond academia.