Academic Experience

PhD Candidate - FWO Fellow
Ghent University, Department of Information Technology, IDLab
Supervised by Prof. Thomas Demeester, Prof. Klaas Mulier, and Prof. Joke Baeck
Nov 2023 – present · Ghent, Belgium

Research in causal machine learning for data-driven decision support, funded by an FWO PhD Fellowship Fundamental Research. My work focuses on treatment effect estimation, ranking, and policy learning from observational data, with applications in healthcare and business.

Visiting Researcher
LMU Munich, Institute of AI in Management, Causal Machine Learning Lab
Hosted by Prof. Stefan Feuerriegel
Sep 2025 – Dec 2025 · Munich, Germany

Three-month research stay funded by an FWO Grant for a Long Stay Abroad. I worked on methodological questions in causal machine learning, resulting in the ICML 2026 paper Rank-Learner: Orthogonal Ranking of Treatment Effects.

PhD Candidate - Interdisciplinary Research Project
Ghent University
Supervised by Prof. Thomas Demeester, Prof. Klaas Mulier, and Prof. Joke Baeck
Sep 2021 – Oct 2023 · Ghent, Belgium

Research on business failure prediction and AI-supported decision-making in collaboration with Belgian commercial courts. The project combined financial and textual data and focused on predictive modelling, interpretability, and real-world decision support.