Awarded an Advanced ERC Grant in 2024 for research on Assumption-lean (Causal) Modeling and Estimation
Served as Co-Editor of Biometrics, the flagship journal of the International Biometric Society
Associate Editor for prestigious journals including American Journal of Epidemiology, Biostatistics, Epidemiology, Journal of the Royal Statistical Society–Series B, etc.
Joined the editorial board of the new journal Statistical Learning and Data Science in 2025
Paper 'Debiasing Synthetic Data Generated by Deep Generative Models' accepted to NeurIPS 2024 and received Best Poster Award at the Royal Statistical Society of Belgium annual meeting
Discussion paper 'Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands' (with Kelly Van Lancker) to be presented at a webinar in November 2025
Background
Biostatistician with over 20 years of experience in developing statistical methods for causal inference
Currently Professor of Statistical Methodology at the Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Belgium
Core member of Ghent University’s causal inference research community, initiated in the mid-1990s by his former PhD advisor Prof. Els Goetghebeur
Completed postdoctoral training under Andrea Rotnitzky and James Robins at the Department of Biostatistics, Harvard School of Public Health
Held a part-time professorship at the London School of Hygiene and Tropical Medicine (2017–2021)