I am a Glasstone fellow at the University of Oxford. Before this, I was a postdoc with Nicolas Bousquet at the Sorbonne, a postdoc with Judith Rousseau at Dauphine and Oxford, and 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.
My current ongoing projects:
- 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.
- Semiparametric Bernstein von-Mises theorem for mixture models.
- Bernstein-von Mises and contraction rates for missing variables.
Research interests:
- Uncertainty quantification
- Deep learning
- Nonparametric regression
- Nonparametric causal inference
- Online learning