👋 I am currently a Postdoctoral Fellow in the 2nd edition of the NWO Faculty of Impact and a researcher at Radboud University Medical Center. My research focuses on the design and development of Radiology AI algorithms.

🧑🏽‍🎓 I completed my PhD research under the supervision of Colin Jacobs, Alessa Hering, Bram van Ginneken, and Mathias Prokop. I defended my PhD thesis on AI for lung cancer screening in May 2024. In my first publication, we demonstrated that deep learning algorithms can predict lung cancer risk as effectively as clinical experts. This work was also featured by the Telegraph. 😊 After my PhD, I briefly collaborated with Alessa Hering on the COMFORT project.

During my PhD, I dedicated 10% of my time to supporting users of grand-challenge.org. Additionally, I volunteered as an editor for The Gradient, where I managed outreach and ensured articles met publication standards.

🛠️ Before pursuing my PhD, I worked for three years at an early-stage startup called Predible (acquired by nference), where we developed deep learning algorithms for analyzing wrist x-ray, chest CT, and abdomen CT images.

💙 In my free time, I enjoy playing outdoor sports, reading books, and occasionally stargazing.

• Medical Image Analysis: SimpleITK, ITK, VTK
• Computer Vision: opencv, skimage
• Machine Learning: (py)torch, tensorflow, torch7, theano
• Data Science: pandas, numpy, scipy, sklearn
• Visualization: matplotlib, seaborn, vtk
• Demo: streamlit
• Development: 🐋 docker