cv
CV of Jef Jonkers
General Information
| Full Name | Jef Jonkers |
| Languages | English, Dutch, French |
Education
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2023-2027 PhD, Computer Science
Ghent University, Ghent, Belgium - Conformal Prediction
- Probabilistic Forecasting
- Causal Inference
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2022-2023 MSc, Statistical Data Analysis
Ghent University, Ghent, Belgium - Magna Cum Laude
- Thesis - Evaluating Meta-Learners, Probability Calibration and Gradient Boosting Trees for Heterogeneous Treatment Effect Estimation with Label Imbalance.
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2020-2022 MSc, Computer Science Engineering
Ghent University, Ghent, Belgium - Magna Cum Laude
- Thesis - Probabilistic Forecasting Day-ahead Wind Power Generation at Regional Scales using Machine Learning.
Experience
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2023 - present PhD Researcher
Ghent University, Ghent, Belgium - Conducting research on conformal prediction, probabilistic forecasting, and causal inference.
- Collaborating with clinical and hospitals in applying theoretical research to real-world problems.
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2025 (Sep-Dec) Visiting Researcher
ETH Zurich, Zurich, Switzerland - Conducting research on isotonic distributional regression and conformal predictive systems.
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2023 (Feb-Jul) Student Researcher
Ghent University, Ghent, Belgium - Performing research on anatomical landmark localization and measurements in medical images using deep learning.
Grants and Funding
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2025 - Travel Grant from the Research Foundation - Flanders (FWO) for visiting ETH Zurich
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2024 - PhD Fellowship from the Research Foundation - Flanders (FWO)
Professional and Academic Service
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2026 - Reviewer for Annals of Applied Statistics
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2025 - 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)
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2024 - Reviewer for the International Conference on Learning Representations (ICLR 2025)
Honors and Awards
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2024 - Alexey Chervonenkis Award for the Best Student Paper (COPA 2024)
Academic Interests
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Probabilistic Forecasting/Distributional Regression
- Finite-sample calibration guarantees (under distributional shifts)
- Conformal predictive systems
- Isotonic distributional regression
- Multivariate predictive distributions
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Conformal Prediction
- Conformal prediction for multivariate response variables
- Conformal prediction in causal inference
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Causal Inference
- Heterogeneous (individualized) treatment effect estimation
- Causal discovery