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Designed and implemented a server-side deployment stage for an RDF data pipeline, producing SPARQL-queryable outputs via Dockerized execution, with a production-ready GitHub repository supporting scalable healthcare data integration and LLM-based applications.
Built an automated system to transform Belgium’s daily updated national medicinal product database into standardized RDF Linked Data, enabling efficient querying and cross-organization data interoperability for pharmaceutical and healthcare stakeholders.
Collaborated on advancing multiple sclerosis research by analyzing a hospital database of 2,500 patients, performing data cleaning, feature engineering, and longitudinal analysis, and evaluating machine learning models for disease progression prediction.
Collaborated on R&D projects for biomedical component development, contributing to improvements in material biocompatibility, and developed data-driven analysis pipelines for EMG sensor signal processing.
Contributed to a hospital startup research group by preprocessing laboratory records and MRI/CT datasets for early-stage AI-driven clinical research.
MSc graduate in Biomedical Engineering, focusing on biomedical data analysis, artificial intelligence, and applied research in clinical settings.
Bachelor's degree focused on detection of bone fractures in CT volumes using advanced image processing techniques.