I'm a master's student in biomedical engineering at DTU, researching clinically applied AI at the Centre of Diagnostic Investigation, Rigshospitalet – and assisting the NIBS-CP research project at the Danish Research Centre for Magnetic Resonance.
I'm drawn to the challenge of bridging medicine and technology – making systems smarter and more useful.
Technical University of Denmark
2026 – now
Specializing in medical imaging and machine learning – with a focus on PET, CT and MRI.
DEPICT, Rigshospitalet
2025 – now
Researching deep learning methods for clinical PET/CT scanning and developing internal tools for the department.
Developing diffusion-based deep learning models for synthetic CT generation based on PET images.
Development and validation of GAN models for pediatric [18F]mFBG PET/CT based on transfer learning.
GDPR-compliant data collection setup based on REDCap for longitudinal MRI study.
Technical University of Denmark & University of Copenhagen
2026 – now
Focus on medical imaging, signal processing, and deep learning.
Technical University of Denmark & University of Copenhagen
2022 – 2025
Foundation in analog electronics, medical imaging, optics and photonics, instrumentation, and software development for health technology. Trained in clinical application of medical devices, quality assurance, and clinical validation. Thesis on diffusion-based synthetic CT generation.