Richard Burns

Associate Professor Richard Burns is a Senior Fellow at the Australian National University's National Centre for Epidemiology and Population Health, working within the Department of Health Economics, Wellbeing and Society. With a distinguished academic career spanning epidemiology and population health, he contributes significantly to global health research initiatives including the Global Burden of Disease Study.

• BMus (ANU)
• BA (CSU)
• PGDE (UC)
• MSc (Manchester)
• MBiostats (USyd)
• PhD (USQ)

Professor Burns' research focuses primarily on mental health, wellbeing, and the global disease burden, with particular expertise in life expectancy, psychological wellbeing, and dementia. His work bridges epidemiological methods with practical applications for population health improvement. His research fingerprint shows strong concentration in mental health (100%), wellbeing (49%), global disease burden (47%), and life expectancy (25%).

His recent publication record demonstrates remarkable productivity, with 112 research outputs including 18 publications in 2024 alone. These works span high-impact journals including The Lancet, The Lancet Neurology, and Genes, focusing on global health metrics, mental health services, cognitive function, and healthy aging across diverse populations. His research shows a clear trend toward interdisciplinary approaches combining epidemiology, neuroscience, and public health policy.

Professor Burns has successfully secured multiple research projects, including the Internal Validation of Defence Wellbeing Measure (2023-2025), Mental Health Analysis and Modelling, and the Request for Quotation application: Defence Wellbeing Research Framework. He collaborates extensively with researchers across Australia and internationally.

As a registered supervisor, Professor Burns mentors students in epidemiology and population health research. His laboratory work focuses on the PATH through Life Project and other longitudinal studies examining mental health trajectories across the lifespan. His team employs advanced statistical modeling and neuroimaging techniques to understand the complex interplay between biological, psychological, and social determinants of health.