teaching

🌟 I’m proud to be teaching member for the “Data Science in Healthcare” course, part of the Healthcare Engineering program at Hasselt University 🏫 during the 2022-2023 and 2023–2024 academic year 📅. Guiding students as they dive into the fascinating intersection of healthcare and data science has been an incredible journey. Watching their curiosity grow as they tackle real-world challenges with data-driven solutions is truly inspiring! 💡✨

👨‍🏫 At KU Leuven, I’ve had the privilege of supervising 7 Master’s theses in Artificial Intelligence 🧠. These projects explored cutting-edge topics in federated learning, model personalization, and predictive analytics. Here are some of the standout contributions:

• Predicting Hospitalized Patients: Comparing federated learning with pooled and local datasets.
• Data Partitioning Scenarios: Studying how data distribution affects training accuracy.
• Federated Boosting in Semi-Supervised Learning: Developing creative ways to improve boosting techniques in federated setups.
• Contrastive Learning: Exploring new ways to apply contrastive learning to improve AI models.
• Personalized Models in Federated Learning: Testing new architectures 🏗️ and exchanging parameters to enhance personalization.
• Fine-Tuning Global Models: Tweaking global federated learning models to boost performance.
• Early Disease Detection: Using shallow whole genome sequencing (sWGS) of cell-free DNA (cfDNA) for advanced diagnostics.

For more information feel free to reach out!