I enjoy building and deploying deep learning models for (bio)medical applications — from research prototype to clinical practice. My PhD research focused on predicting immunotherapy outcomes in lung cancer patients using computational pathology. After my PhD, I was a research software engineer implementing AI in the clinical practice of the Radboud University Medical Center in the Netherlands.
From March 2026, I am looking for a new job as an AI scientist/engineer or research software engineer.
Developed a deep learning pipeline to quantify PD-L1 expression at the cell level in whole-slide histopathology images, a key biomarker for immunotherapy eligibility.
Co-created a publicly available H&E and PD-L1 annotated dataset for training and benchmarking AI models in computational pathology.
Built a segmentation model for automated quantification of cellularity in bone marrow histology to measure how cellularity varies throughout life.
As a research software engineer (RSE) at Radboudumc from February 2025 to March 2026, I helped build Nexum, a containerised framework for connecting our PACS/IMS to a compute backend. Nexum was designed to enable inference of any containerised algorithm on anonymized slides in a scalable and anonymous manner. To achieve this, we built a Docker Compose stack consisting of a broker and compute workers coupled to an asynchronous Celery queue. The workers could be horizontally scaled by launching more GPU instances on whatever (cloud) hardware is available. Nginx served as the central reverse proxy, routing traffic from external clients (the QA officer-facing dashboard and the PACS) to the internal services. Job metadata and results were persisted in MongoDB, accessible via a Mongo Express admin interface.
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AI & Machine Learning
Infrastructure & Deployment
Practices
| Period | Role | Organisation |
|---|---|---|
| 2025 – 2026 | Research Software Engineer | Radboudumc, Dept. of Pathology |
| 2021 – 2025 | PhD Researcher, Medical Image Analysis | Radboudumc, Computational Pathology |
| 2020 – 2021 | AI Research Intern | Polytechnique Montréal |