
Sports Analytics Computer Vision System
Master's thesis: a computer vision pipeline that automates two off-the-ball football statistics, body orientation at the pass and scanning checks before receiving.
Based in Amsterdam. Building a global health research platform and a hospital AI patient-assistant avatar at KPMG. Before that, research at VU Amsterdam on sports analytics with computer vision, and on social robots in healthcare and education. M.Sc. AI, VU Amsterdam · B.Sc. AI, UvA.

Master's thesis: a computer vision pipeline that automates two off-the-ball football statistics, body orientation at the pass and scanning checks before receiving.
AI-powered patient-facing avatar for a hospital setting. Answers patient questions to take routine load off nursing staff, built on Microsoft Foundry agents with a React frontend.
Personal project, live at onetwofootie.com: a daily football puzzle where you name the player from their career path. Two modes, a Wikipedia and Wikidata ingest pipeline, and a difficulty model that keeps the daily round winnable.
Full-stack work on a global research platform that lets researchers across multiple countries publish, manage, and collaborate on health research projects.

Deep learning pipeline for 3D thoracic organ segmentation from CT scans. nnU-Net 3D vs a custom U-Net variant vs ENet baseline on the SegTHOR challenge.
Predicting Acute Kidney Injury stages in ICU patients with septic shock using Decision Trees, XGBoost, and SHAP explainability on the AmsterdamUMC database.
My research spans computer vision, human-robot interaction, NLP, and full-stack development. I care about systems that survive contact with real users, the last 10% where research becomes product.
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