My research focuses on how personal sensors can be used to measure individual exposure. I obtained my PhD at the Department of Public Health, Section for Epidemiology, Biostatistics and Environment. My academic background is an MSc in Sport Science with a minor in Social Science.
My research comprises two strands. In the first, I evaluate and develop personal air pollution sensors intended to measure the individual exposure to air pollution of each of the 500 participants in a study. In the second, I develop prediction models to identify runners at high risk of sustaining an injury.
At the Department of Public Health, I teach medical students how to assess the health risks of environmental exposures, i.e., the influences from our surroundings to which we are exposed. I teach public health science students how personal sensors can be used to measure individual exposure. Previously, I taught introductory statistics in the bachelor's programme in Sport Science.
I collaborate with Lund University in Sweden and Rutgers School of Public Health in the United States. In addition, I work closely with HulmanLab at Steno Diabetes Center Aarhus.
I evaluate personal air pollution sensors and develop prognostic models in collaboration with Danish and international partners. In addition, I assist colleagues in my research group in implementing the sensors in their cohorts, i.e., groups of participants followed over time. The sensors generate large volumes of data, and I am responsible for processing these data so that they can be used in research.
