Jan Blomerus is a Senior Lecturer with a strong academic interest in actuarial science, statistical modelling, and the application of deep learning methods to regression problems, mainly in insurance. His work focuses on using deep feed-forward neural networks to analyse complex datasets, with the aim of contributing practical insights for both actuaries and machine learning practitioners.
Jan is also passionate about teaching, mentoring students, and making technical concepts more accessible through clear explanation and structured learning.