Research overview
Statistical software
Editor of the Journal of Statistical Software.
Author of various R packages.
Ordinary member of the R Foundation.
Statistical modeling
Flexible and distributional regression models, e.g., for count data, censored and truncated responses, rates and proportions.
Machine learning
Methods and software for tree-based modeling: model-based partitioning, distributional random forests, personalized treatment effects, boosting.
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, …