Rianne de Heide
About meI 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 LilleNord Europe) on a LUF travel grant, to work with Emilie Kaufmann and Michal Valko. ResearchMy research interests include
Recent Publications
