Molecular Epidemiology

Members of the research group are jumping in front of a brick wall.

Our research focuses on the causes and consequences of diabetes and cardiovascular diseases, the identification of predictive biomarkers and lifestyle factors, and novel methods in disease surveillance.

We apply traditional and modern methods for causal inference in large observational datasets, some of which our team have developed based on high-throughput molecular methods. These data include metabolomics, metagenomics, genomics, proteomics, and imiomics. We have also performed large register linkages and collected COVID-19 data through an innovative national syndromic surveillance app.

We are an international, creative, and collaborative research environment with an ambition to make a positive impact on society. Our research is projected to lead to important new insights into disease mechanisms, which in turn can facilitate the development of new treatments for these diseases, as well as new biomarkers of disease for improved risk prediction and prognostics. Additionally, in response to the COVID-19 pandemic, the group has been striving to develop novel methods for monitoring the transmission of infectious disease agents and for establishing a systematic approach to vaccination safety to safeguard communities in future health crises.