Research overview

Statistical software

Statistical software Editor of the Journal of Statistical Software.
Author of various R packages.
Ordinary member of the R Foundation.

Statistical modeling

Statistical modeling Flexible and distributional regression models, e.g., for count data, censored and truncated responses, rates and proportions.

Machine learning

Machine learning Methods and software for tree-based modeling: model-based partitioning, distributional random forests, personalized treatment effects, boosting.

Weather forecasting

Weather forecasting Modeling meteorological observations and numerical weather predictions for spatio-temporal probabilistic forecasts.


Psychometrics Detecting and modeling individual heterogeneity using psychometric computing in item response theory, paired comparisons, cognitive diagnosis, …


E-Learning Strategies and software for e-learning and blended learning, using automatically-generated exams, quizzes, self tests, …