I completed my MSc in Biomedical Engineering (cum laude) at Eindhoven University of Technology, following the Medical Imaging track. My graduation project focused on automated prostate cancer detection and grading from MRI.
I obtained my PhD degree in 2025 under the supervision of Clarisa Sánchez and Bram van Ginneken. I worked on my thesis in the DIAG group at Radboudumc, Nijmegen, and the Eye Lab of the qurAI group at the University of Amsterdam. My thesis, titled “Towards Robust Deep Learning for Medical Imaging: Applications in Ophthalmology and Radiology”, focused on improving the robustness of deep learning techniques for the analysis of retinal diseases using optical coherence tomography and color fundus imaging, as well as for the assessment of COVID-19 in chest computed tomography (CT).
In 2024, I worked as a postdoctoral researcher in the qurAI group. My research aimed to bring AI for medical imaging closer to real-world use by focusing on model robustness through uncertainty estimation, generative modeling, and efficient annotation, primarily in ophthalmology and radiology. During that time, I also worked on a startup, Plain Medical, which makes software for radiologists to increase their productivity. There, I led the medical image annotation processes through efficient prompt-based image segmentation and by building proprietary image annotation software.
I maintain SlicerNNInteractive, an open-source plugin that brings nnInteractive and nnInteractive-Agent to 3D Slicer. It enables interactive, AI-assisted segmentation of 3D medical images using prompts such as points, scribbles, bounding boxes, and lassos, making image annotation faster and more efficient. Since more recently, it also includes agent-based image segmentation, allowing segmentation through text-based prompts, leveraging agents such as Claude Code, Codex, and open models.
Since 2025, I have been an AI/ML Engineer at Apellis Pharmaceuticals (a subsidiary of Biogen), developing AI/ML models for retinal imaging.
Check out the source code of this website here.