Teaching
Industry Courses
We develop machine learning and AI industry courses. See an example here.
Summer School at Radboud University
We started the first edition of the Summer School “Machine Learning for Time Series” in 2025 with the colleague Roel Bouman.
Radboud University (2019-2025)
- Statistical machine learning (Master course) I am giving the following lectures in this course: introduction to probability theory and Bayesian inference; Gaussian processes; Markov Chain Monte Carlo; variational inference. I am also supervising some of the practical sessions.
- Machine learning in practice (Master course) I am supervising about three teams each year who participate in Kaggle competitions
- Research seminar data science (Master course): coordinator of the course in 2023. In this course we teach students to review scientific papers and cover recent advances in machine learning and data science.
Maastricht University (2014-2017)
Problem based learning
- Probability theory
- Quantitative methods
- Quantitative business and statistics
