Our Research
Epidemiology & Data Science
Using advanced quantitative approaches including causal inference and multilevel modelling.
Systems Thinking & Policy Analysis
Applying prospective simulation modelling to design equitable health systems.
Public Voice & Advocacy
Ensuring lived experiences of disadvantaged communities inform policy decisions.
Research Focus Areas

Integrating Primary Prevention in Universal Health Coverage
We explore pathways to achieve universal health coverage for oral health, using high-level simulation models to design affordable, prevention-focused systems accessible across the lifespan.
Current Projects
- Cost-effectiveness analysis of preventive dental care
- Simulation modelling of universal dental coverage schemes
- Assessing affordability barriers to preventive care access

Oral Health and Healthy Ageing
Our work on healthy ageing examines the interrelationship between social disadvantage, oral health, and ageing outcomes to reduce inequities in later life.
Current Projects
- Longitudinal pathways between tooth loss and cognitive decline
- Oral health status and frailty in older adult populations
- Impact of lifetime social determinants on healthy ageing

Preventing Incidence of Oral Cancer
In cancer prevention, we develop interventions such as tobacco-free generation initiatives, applying causal inference methods to limit new cases of oral cancers.
Current Projects
- Evaluating the potential impact of a tobacco-free generation policy
- Causal analysis of risk factors in oral cancer development
- Long-term outcomes of early disease prevention programs

Reducing Oral Health Related Multimorbidity
We investigate oral health-related multimorbidity, evaluating strategies to reduce the joint burden and inequitable distribution of oral health-related conditions.
Current Projects
- Social pathways of oral health-related systemic morbidities
- Designing health systems to address complex multimorbidity
Explore Our Research Network
Explore our research publications through an interactive network graph. This visualization connects our papers with their primary research topics and methodologies, illustrating the multidisciplinary nature of our work.
