Research projects

Mortality modelling

Development of the IA|BE 2015 and IA|BE 2020 mortality projection models for the Belgian population

Hands-on machine learning in R

Introducing the basics of machine learning in R covering machine learning foundations, GLMs, GAMs, regression trees, random forests, gradient boosting machines and neural networks.

Machine learning for insurance pricing

Insurance pricing with GLMs, GAMs and tree-based machine learning, the distRforest package

Sparsity

Development of the SMuRF algorithm for the construction of sparse GLMs with muli-type features

Telematics insurance

Development of tools to analyze telematics collected data for insurance pricing