Teaching and supervision
PhD students
Current:
Tijn Jacobs, 'High-dimensional Bayesian causal inference in the potential outcomes framework'.
Nadja Rutsch, 'High-dimensional Bayesian causal inference with DAGs'.
Kayané Robach, `Causal record linkage'.
Julia Kowalska, `Bayesian theory and methods for the regression discontinuity design'.
Jan Jaap de Graeff, `Novel research methodology and evaluation of orthopaedic standard of care’.
Past:
2025: Máté Kormos, `Topics in causal inference and privacy'. Thesis. Now a postdoc at Ghent University.
2022: Martin Kroon, `Towards the automatic detection of syntactic differences.’ Thesis. Now a researcher-linguist at the Dutch Language Institute (INT)
Postdocs
Current:
Philip Boeken, postdoc in the BayCause project.
Past:
Zhongyi Hu, postdoc in the BayCause project. Now a Research Fellow at the University of Edinburgh.
Bachelor/master theses
During the 2026-2027 academic year, I'm available to supervise one MSc Mathematics student, one BSc Mathematics student, and one MSc Business Analytics internship.
Master theses
Daniel Gomon (2021). Continuous time control charts: generalizations and an application to the Dutch Arthroplasty Register (LROI). Winner Best Thesis in Applied Math Award 2021.
Caroline Kok (2019). A mathematical comparison and improvement of statistical control charts in medical contexts.
Bachelor theses
Stijn van Eig (2020). Variance estimation by bootstrap in nearest neighbour propensity score matching with replacement.
Pascal van der Vaart (2019). Statistical methods for quantum state estimation.
Sebastiaan Draijer (2018). Correlatie en causaliteit: failliet door de pinpas?
Daniel Gomon (2017). Horseshoe prior: robustness against non-normal deviations.
Arjun Harinandansingh (2016). Meervoudig toetsen met de horseshoe prior.
Rens Geerling (2015). Community detection in networks.
Fréderique Kool (2014). Een statistische analyse van recidive-cijfers.
Jason Zijlstra (2014). An exploration of exoplanetary transit detection algorithms.
Courses
Mathematical Statistics 2 (VU), 2025, 2027.
Statistics & Probability for Mechnical Engineering (VU), 2025, 2027.
Mathematics for Machine Learning (VU), 2027.
Modelleren (at MI, Leiden University); 2019, 2020.
Inleiding Mathematische Statistiek (at MI, Leiden University); 2017, 2018, 2019, 2020.
AWV2 (at LUMC); 2017.
Statistics (at LUC); 2015, 2016.
Numeracy (at LUC); 2013, 2014.