Our research group advances equitable mental, cognitive, and brain health across populations, with a focus on multimorbidity across the life course.  We generate high-impact, policy- and practice-relevant evidence to address major global health challenges, including common mental disorders, cognitive decline, behavioural addictions.

We advance population mental, cognitive, and brain health through interdisciplinary, mixed-methods research. Our research spans surveillance, health promotion, prevention, intervention science, implementation, and policy translation. 

We use innovative approaches including digital epidemiology and passive sensing, Artificial Intelligence and machine learning, neuropsychological assessments, neuroimaging, biomarkers, wearable technologies, and geospatial analytics. Our research is grounded in an intersectional lens that considers how social identities shape health risks and outcomes. 

Integrated Surveillance Systems for Mental and Cognitive Health

Limited and fragmented data on mental and cognitive health remains a major global challenge. Our research addresses this gap by developing rigorous, integrated surveillance that combine clinic- and population-based physiological, neurological, psychological, and biological data across the life course with behavioural indicators. We employ innovative approaches such as digital phenotyping, ecological data collection methods, artificial intelligence (AI) to enable improved screening, timely detection, enhanced precision and prediction of mental health risks and trajectories. We focus on enhancing evidence on the impact of emerging risk factors such as digital media use, climate change etc on mental and cognitive health.  A key priority is promoting gender-sensitive and equitable applications of AI by critically assessing how biases may be embedded in data, algorithms, and health systems, and developing approaches to mitigate these risks. 

Developing Innovative and Equitable Interventions: 

We design and evaluate scalable interventions for the prevention and treatment of mental and cognitive health using digital health tools, mass media, and social and behaviour change strategies - while addressing disparities in access and effectiveness across diverse populations. Our aim is to inform evidence-based policy and global mental health agendas.

Implementation Science and Health Systems Integration

Our research focuses on understanding how to effectively deliver and scale interventions in real-world settings. Through implementation science and health services research, we evaluate strategies, their cost-effectiveness and sustainability; while advancing task-shifting and hybrid care models (digital + human delivery) to ensure that innovations translate into policy-relevant, system-ready, sustainable solutions and enhance access. Our aim is to develop interventions for mental and cognitive health that can be easily integrated into primary health and to develop systems-level responses to population mental health needs. 

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