cv

PhD, Computer Science

• Conformal Prediction
• Probabilistic Forecasting
• Causal Inference

MSc, Statistical Data Analysis

• Magna Cum Laude
• Thesis - Evaluating Meta-Learners, Probability Calibration and Gradient Boosting Trees for Heterogeneous Treatment Effect Estimation with Label Imbalance.

MSc, Computer Science Engineering

• Magna Cum Laude
• Thesis - Probabilistic Forecasting Day-ahead Wind Power Generation at Regional Scales using Machine Learning.

PhD Researcher

• Conducting research on conformal prediction, probabilistic forecasting, and causal inference.
• Collaborating with clinical and hospitals in applying theoretical research to real-world problems.

Visiting Researcher

• Conducting research on isotonic distributional regression and conformal predictive systems.

Student Researcher

• Performing research on anatomical landmark localization and measurements in medical images using deep learning.

• Travel Grant from the Research Foundation - Flanders (FWO) for visiting ETH Zurich

• PhD Fellowship from the Research Foundation - Flanders (FWO)

• Reviewer for the Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026)
• Reviewer for Annals of Applied Statistics
• Reviewer for Frontiers in Medicine

• Reviewer for the International Conference on Learning Representations (ICLR 2026)
• Reviewer for the Conference on Artificial Intelligence and Statistics (AISTATS 2026)
• Reviewer for Pattern Recognition (PR)
• Reviewer for Philosophical Transactions of the Royal Society A (Mathematical, Physical and Engineering Sciences)
• Programme Committee member for the Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2025)

• Reviewer for the International Conference on Learning Representations (ICLR 2025)

• Alexey Chervonenkis Award for the Best Student Paper (COPA 2024)

• Oral presentation at HINT.GENT Science Conference 2026, on "Beyond binary acute kidney injury classification" (Ghent, Belgium).
• Oral presentation at IMS Annual Meeting 2026 on "Functional Calibration For Survival Prediction Under Right Censoring" (Salzburg, Austria).
• Poster presentation at AISTATS 2026 Workshop "Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI" (Tangier, Morocco).

• Invited PhD talk at ETH Zurich Seminar for Statistics on "Generalized Conformal Predictive Systems uder Distributional Shifts" (Zurich, Switzerland).

• Oral presentation at the Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2024) (Milan, Italy).