My research focuses on diabetes epidemiology from two complementary perspectives: global diabetes epidemiology and demography, with a particular focus in Latin America; and family and partner-based research investigating how these relationships shape diabetes risk, prevention and management. I promote the use of open and reproducible research workflows to facilitate collaboration, transparency, sustainable research capacity, and teaching.
My work in global diabetes epidemiology, addresses major evidence and data gaps in Latin America, where limited longitudinal data and fragmented health information systems constrain the ability to monitor diabetes and evaluate health services. My research focus on strengthening diabetes data infrastructures and generate comparable epidemiological evidence across different Latin American settings.
I use Danish population-based registers and longitudinal data to investigate how family and partners influence each other’s health behaviors. I use advanced epidemiological methods to examine partners' health and behavioral coordination across different stages of the life course, and multigenerational register data to build family pedigrees to investigate how diabetes and other cardiometabolic diseases run in families. I believe that the role that family and in particular partners, is crucial for the long term adoption of healthy behaviors, and their maintainability over long periods of time.
