Rianne de Heide
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Department of Applied Mathematics |
About me
I am an assistant professor in the Statistics group (STAT) in the Department of Applied Mathematics, at the University of Twente. I work on problems and solutions in machine learning and statistics. My research focuses on hypothesis testing, Bayesian learning and best-arm identification problems. Currently I work on my VENI project 'E-values for Multiple Testing’. Central in my work is both bringing a solid mathematical foundation to the topics I work on in different fields, as well as making the theory accessible for less mathematical audiences. I’m also interested in the mathematical and philosophical foundations of Bayesianism, machine learning, statistics and probability theory.
Before coming to the University of Twente, I was an assistant professor at the Vrije Universiteit Amsterdam. Until my family moves north/east, I'm very grateful for the flexibility of the University of Twente to work partly remotely, and for LUXs Data Science in Leiden, and CWI and VU Mathematics in Amsterdam to welcome me as a guest researcher and to let me use their facilities.
I’m committed to DEI and want to contribute to academia being a workplace where everyone feels valued and can be themselves. Be welcome to have a chat with me about it.
Outside of work, some easy topics for conversation are: running, cycling, swimming (guess where this may be going…), hiking, training dogs, raising kids, languages, classical music, and much more!
News
Fall 2024: I teach an MSc course on Statistical Learning.
September 1st: I start my new position at the University of Twente.
There were several interviews with me the last months in (national) newspapers and magazines: NAW (PDF), NRC (PDF, Link), The New Scientist (Picture), and Ad Valvas (Link).
Older News
I was awarded the 2023 Cor Baayen Early Career Researcher Award (news article)
I was awarded a Veni grant (https://vu.nl/en/news/2023/veni-grant-for-rianne-de-heide-s-research-into-new-mathematical-theory)
Research
My research interests include
Bandits, Reinforcement Learning
(Sequential) hypothesis testing, multiple testing
Group invariance in statistics
Bayesian methods
Learning theory
Imprecise probabilities in statistics
Foundations of ML, stats and probability theory
Recent Publications
Safe Testing
Peter Grünwald, Rianne de Heide and Wouter Koolen
Journal of the Royal Statitical Society Series B: Statistical Methodology. Advance publication, March 7, 2024. doi.org/10.1093/jrsssb/qkae011 arxiv proc
The discussion meeting took place on January 24, 2024 (video).
Authors’ Reply to the Discussion of ‘Safe Testing’
Peter Grünwald, Rianne de Heide and Wouter Koolen
Journal of the Royal Statistical Society Series B: Statistical Methodology. July 16, 2024. doi:10.1093/jrsssb/qkae069 proc