Tove Fall

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.