Background/experience:
PhD Student. MSc in Clinical Science and Technology (Aalborg University) and previously BSc in radiography with specialisation in radiotherapy (University College Lillebælt). Experienced in data science and statistics across several database- and register-based research datasets, primarily within the domain of osteoporosis research.
Main contributor to collecting, establishing and analysing Denmark’s largest observational DXA scan database enriched with register and laboratory data (NOCTE Database).
Research interests:
• Machine learning and prediction modelling of osteoporosis-related fractures.
• Causal Machine Learning and counterfactual inference modelling.
• Target trial emulation frameworks.
Secondary research interests include the effects of systemic glucocorticoids on bone mineral density, as well as epidemiological research of DXA-scanned patients in Denmark.
PhD project:
Prevention of osteoporotic fractures through early detection of individuals at risk – Testing the feasibility of a fully automated data-driven decision support tool in general practice.
