Teaching

I teach statistics and machine learning at levels ranging from undergraduate service courses to specialised national Master's courses. My teaching includes mathematical statistics, statistical learning, Bayesian statistics, e-values, probability, and applications in the health sciences.

Slides, exercises and other resources are collected on the Teaching material page.

Current and upcoming teaching

• Medische Statistiek, BSc Gezondheidswetenschappen, University of Twente, Spring 2027.

• E-values and Game Theoretic Statistics, MasterMath, Spring 2027. An 8 EC MSc course at the University of Amsterdam, together with Peter Grünwald.

Selected courses taught

• Medische Statistiek, BSc Gezondheidswetenschappen, University of Twente, Spring 2026.

• Statistical Learning, MSc Applied Mathematics, University of Twente, Fall 2024.

• Mathematical Statistics 2 (formerly Bayesian Statistics), BSc Mathematics, Vrije Universiteit Amsterdam, Spring 2024.

• Statistics and Probability, BSc Mechanical Engineering, Vrije Universiteit Amsterdam, Spring 2022 and 2023.

• Statistical Methods, Pre-master Computer Science, Vrije Universiteit Amsterdam, Spring 2022 and 2023.

• Statistical Methods, BSc Artificial Intelligence, Vrije Universiteit Amsterdam, Fall 2022.

• Statistics, Simulation, and Optimisation, MSc Data Science, University of Amsterdam, Fall 2022, together with Joost Berkhout. I taught the first half, on statistics.

• Machine Learning Theory, MasterMath, Fall 2017, 2018 and 2019, together with Wouter Koolen and Peter Grünwald. I taught the first half, on Statistical Learning Theory.

Guest lectures and specialised teaching

• Lectures on stochastic bandits and best-arm identification in Foundations of Statistics and Machine Learning, MSc Mathematics, Leiden University, Spring 2021.

• Lectures on online learning and bandits in Peter Grünwald's Information Theoretic Learning, MSc Mathematics, Leiden University, Spring 2018.

• Lecture on information theory in machine learning in Christian Schaffner's Information Theory, MSc Logic, University of Amsterdam, Fall 2017.

• Lecture on online learning in Peter Grünwald's Information Theoretic Learning, MSc Mathematics, Leiden University, Spring 2017.