Computer vision and machine learning: segmentation, tracking, and multimodal sensing across research labs and production systems. Recent Master's graduate in Computer Science, KU Leuven.
I work across the stack: ML research and models, software engineering, and the cloud infrastructure that puts them in production.
Links: Portfolio website · Google Scholar · LinkedIn
- multimodal-cellular-processing: my master's thesis, a napari plugin for analysing cell cultures from multimodal data (microscopy and impedance), built for imec's experimental setup.
- multiclass-segmentation-brats-dataset: multi-class brain tumour segmentation on the BraTS 2020 dataset, comparing U-Net variants against UNETR.
- math-cs-intern-assignment: research lab internship take-homes on algorithmic optimisation and from-scratch image augmentation.
- deep-q-learning-atari-games: a Deep Q-learning agent playing Atari games from raw pixels, with a NEAT hyperparameter search on top.
- bibliography-management-system: a Java application built around the Strategy, Factory, and Singleton patterns.