Stijn Vansteelandt
Scholar

Stijn Vansteelandt

Google Scholar ID: 734J_XAAAAAJ
Professor of Statistics, Ghent University
Causal inferenceCausal Machine LearningEpidemiologic methodsMediation analysisSemiparametric
Citations & Impact
All-time
Citations
10,362
 
H-index
48
 
i10-index
151
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • 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)