I am a PhD Student supervised by Aad van der Vaart and Botond Szabo. I work in Bayesian nonparametric statistics, specifically in uncertainty quantification. However my interest is much broader than that, and I might take some side projects. Before my PhD, I did my bachelors and masters studies at Utrecht University and wrote my master thesis under the supervision of Aad van der Vaart.

- A Bernstein-Von Mises theorem for the Pitman-Yor process.
- Studying consistency, contraction rates and uncertainty quantification with a general class of proper species sampling priors, dubbed stick-breaking process priors, which have independent and identically distributed relative stick-breaking weights.
- General theory regarding structural and incidental parameters in a Bayesian model. For example the Neyman-Scott problem.

- I presented a poster at the BNP 2019 conference in Oxford on a Bernstein-Von Mises theorem for the Pitman-Yor process.
- I presented a poster at the conference for Aads Birthday in Leiden on a Bernstein-Von Mises theorem for the Pitman-Yor process.
- I gave a talk in The Bayes club on the Bernstein-Von Mises theorem for the Pitman-Yor process and uncertainty quantification with general stick-breaking process priors.

- Uncertainty quantification
- Deep learning
- Nonparametric regression
- Nonparametric causal inference
- Online learning

s.e.m.p.franssen@math.leidenuniv.nl | |
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Address | Niels Bohrweg 1 2333 CA Leiden |