In 2026, I obtained my Master’s degree in Technical Medicine from Delft University of Technology, with a specialization in medical imaging and interventions. During my studies, I completed several clinical internships across different hospitals and medical specialties. My internships at the Netherlands Cancer Institute (NKI) introduced me to breast imaging and breast cancer diagnostics, where I became particularly interested in combining medical knowledge with technical skills such as programming and medical image analysis.
I am currently a PhD student, and my research focuses on the early detection of breast cancer using AI-assisted point-of-care ultrasound. The aim of my research is to explore whether women presenting with breast complaints can be assessed in primary care. By combining a standardized, automated ultrasound scanning approach with an AI model that interprets the acquired images, we aim to make breast ultrasound assessment more accessible.
Ultimately, this research aims to improve access to breast cancer diagnostics and support earlier assessment of breast complaints. By bringing imaging closer to primary care, we hope to provide reassurance sooner when no concerning abnormalities are detected, while ensuring that women with suspicious findings are referred for further specialist assessment.