Janne Celis

Biomedical Engineering graduate specialized in medical imaging, currently enrolled in the Postgraduate Studies in Advanced Medical Imaging at KU Leuven. Focused on clinically oriented imaging research, with hands-on experience in FDG-PET imaging data analysis and applying unsupervised machine learning.

Postgraduate Research Project - Advanced Medical Imaging - KU Leuven - Leuven, Belgium

(2025-01)

• Analysis of FDG-PET imaging data in ALS patients to investigate disease-related patterns
• Applied SuStaIn (unsupervised machine learning) to explore disease subtypes and progression patterns
• Interpretation of results in a clinical context
• Collaborated with clinical researchers in a multidisciplinary setting

Master's Thesis - Biomedical Engineering - KU Leuven - Leuven, Belgium

(2024-01 - 2025-12)

• Developed a multiscale computational model in MATLAB to study aortic adaptation to hypertension
• Integrated biological processes across tissue and cellular scales
• Strengthened modeling and data analysis skills

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Postgraduate Studies in Advanced Medical Imaging - Medical Imaging - KU Leuven (2025-01)

Master of biomedical engineering - Biomedical Engineering - KU Leuven (2023-01 - 2025-12)

Erasmus Exchange - Technical University of Denmark (DTU) (2024-01 - 2025-12)

Bachelor of Engineering Science - Biomedical Engineering (Major), Electrical Engineering (Minor) - KU Leuven (2020-01 - 2023-12)