Marlene Rietz

Between 2019 and 2024, I obtained a bachelor's degree in Biomedicine and a master's in Translational Physiology and Pharmacology at Karolinska Institutet. In addition to my main education, I collected approximately 80 ECTS in data science and machine learning. Next to this, I have been involved in various research projects at the intersection of physiology, data science, and physical activity or exercise.

My previous supervisors/collaborators include Sabrina Schlesinger at the German Diabetes Center, Düsseldorf, Anders Grøntved and Jan C. Brønd at the University of Southern Denmark, Katrine H. Rubin at Odense University Hospital, and Helene Rundqvist and Tommy Lundberg at Karolinska Institutet. These collaborations have resulted in several lead-author publications. My first publication "Physical Activity and Risk of Major Diabetes-Related Complications in Individuals with Diabetes: A Systematic Review and Meta-analysis of Observational Studies" was published in Diabetes Care at the start of my master's education. I am a committee member of Sports Medicine Stockholm, a regional committee of the Swedish Association for Physical Activity and Sports Medicine. 

In 2024, I was able to obtain several grants including two travel grants by Radiumhemmets Forskningsfonder of approx. 47, 000 SEK (246340, 246890), the international student award by American College of Sports Medicine of $1000, as well as the Pernille Højman Travel Grant of 10, 000 DK for a conference visit in 2025. In 2022, I received a grant by the International Diabetes Epidemiology Group to attend the 2022 IDEG Conference in Porto, and a visit grant by the Danish Data Science Academy (approx 10, 000 DK) to visit Professor A. Grøntved at the University of Southern Denmark.   

In the future, I plan to pursue an academic career using artificial intelligence to uncover physiological links between exercise or environmental exposures and non-communicable pathologies. I recently obtained PhD funding for my project: "Integrative Analysis of Multi-dimensional Data to Unveil Risk Dynamics in Major Diabetes-Related Complications: Insights from the Danish Centre for Strategic Research in Type 2 Diabetes Cohort" from the Danish Diabetes and Endocrine Academy. 

I have been involved in teaching the course Scientific Methodology 2 (1BA174) in the Biomedical Laboratory Science bachelor's programme for two years now.