carl villads priisholm
Hello! 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.
Current
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Technical University of Denmark
M.Sc. Eng. Biomedical Engineering
2026–now
Specializing in medical imaging and machine learning – with a focus on PET, CT and MRI.
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DEPICT, Rigshospitalet
Student Assistant
2025–now
Researching deep learning methods for clinical PET/CT scanning and developing internal tools for the department.
Past
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Technical University of Denmark & University of Copenhagen
B.Sc. Eng. Biomedical Engineering
2022–25
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.
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BiQ A/S
Data Quality and Compliance Assistant
2021–22
Cleaned and quality-assured PEP (Politically Exposed Person) classifications to support anti-money laundering and fraud protection in Danish business.
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Krogerup Højskole
Folk High School
2020
Non-formal education at a Danish folk high school.
Expertise
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Skills
- Medical Imaging
- Deep Learning
- Data Analysis
- Project Management
- Quality Assurance
- Rapid Prototyping
- Clinical Testing
- Digital Signal Processing
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Tools
- PyTorch
- MONAI
- Syngo.via
- REDCap
- InDesign
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Creative
- Photography
- Film & Video
- Music Production
- Visual Design