Videnskabelig Ass. (Research Assistant)
Cand.scient. (M.Sc.) Intelligent Systems
Department: Steno Diabetes Center Aarhus, Aarhus University Hospital
Main supervisor: Adam Hulman
Research area
- Epidemiology
- Machine Learning and AI
Research description
Investigating the Role of Cardiovascular Risk and Energy Expenditure in Type 2 Diabetes Using Whole-Room Indirect Calorimetry and Multimodal Data.
My work focuses on understanding the complex interplay between metabolism and cardiovascular risk in type 2 diabetes.
I process multimodal data from sources such as the whole-room indirect calorimeter, wearable sensors, ECG, and continuous glucose monitors to identify metabolic phenotypes and develop methods for improving cardiovascular risk prediction.