I am a PhD candidate at CWI under supervision of Peter Grünwald. I work on problems and solutions in the intersection of machine learning and statistics, with a focus on hypothesis testing and sequential learning. At the moment I'm working on a new framework for hypothesis testing with Wouter Koolen and Peter Grünwald, and Bayesian inference under model misspecification with Peter Grünwald and Alisa Kirichenko. I'm also interested in the mathematical and philosophical foundations of Bayesianism, machine learning, statistics and probability theory, and I'm working with Tom Sterkenburg on the foundations of Bayesian inference.

I'm a board member of the European Women in Mathematics – The Netherlands, the Dutch association of women professional mathematicians.

In spring 2019, I visited SequeL ( Inria Lille-Nord Europe) on a LUF travel grant, to work with Emilie Kaufmann and Michal Valko.

Papers

Selected Talks

• Stochastics seminar, Otto von Güricke Universität Magdeburg, November 2019
  Safe Testing
• Google DeepMind, Paris, July 2019
  Safe Testing
• Sequel Seminar, Inria Lille, June 2019
  Safe Testing
• Formal Epistemology Workshop , Turin, June 2019
  On the truth-convergence of open-minded Bayesianism
• Scientific Meeting, CWI Amsterdam, April 2018
  Hypothesis Testing

Teaching

Upcoming/current teaching as a lecturer

• Machine Learning Theory (MasterMath, the joint universities national Dutch Master's Programme in Mathematics), Fall 2019
  together with Wouter Koolen and Peter Grünwald. I do the first half on Statistical Learning Theory.

Past teaching as a lecturer

• Machine Learning Theory (MasterMath, the joint universities national Dutch Master's Programme in Mathematics), Fall 2018
  together with Wouter Koolen and Peter Grünwald. I did the first half on Statistical Learning Theory.
• Lectures on online learning and bandits in Peter Grünwald's Information Theoretic Learning course (MSc Mathematics, Leiden University), Spring 2018
• Lecture on Information Theory in Machine Learning in Christian Schaffner's Information Theory course (MSc Logic, University of Amsterdam), Fall 2017
• Machine Learning Theory (MasterMath, the joint universities national Dutch Master's Programme in Mathematics), Fall 2017
  together with Wouter Koolen and Peter Grünwald. I did the first half on Statistical Learning Theory.
• Lecture on online learning in Peter Grünwald's Information Theoretic Learning course (MSc Mathematics, Leiden University), Spring 2017

Past teaching as an assistant

• Information Theoretic Learning (MSc Mathematics, Leiden University), Spring 2017, 2018
• Mathematics for Statisticians (MSc Statistical Science, Leiden University), Fall 2013, 2014, 2015

Background

I obtained a BSc in Mathematics from the University of Groningen and a MSc in Mathematics cum laude from Leiden University. I also hold a Bachelor of Music from the Prins Claus Conservatoire and a Master of Music from the Royal Conservatory of The Hague, both in Classical music - Horn.

Until January 2019 worked one day a week at Leiden University with Jacqueline Meulman as coordinator of the MSc programme Statistical Science.

Other

Software

R Package SafeBayes

Miscellaneous

Saint Nicholas, Rooks and Graph Matchings

Distractions

I like cycling, learning languages and classical singing. I'm a contralto, and sing in the VU-Kamerkoor and many side-projects.