Rianne de Heide
Department of Applied Mathematics
Zilverling (building nr. 11), room 2098
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)
University of Twente
Hallenweg 19, 7522 NH Enschede
E-mail: r.deheide [at] utwente [dot] nl
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.
I wrote a column for NAW about my view on statistics as a field and where it should go: a paradigm shift (PDF).
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
November 8: I organize e-Day, a meetup for Dutch e-value researchers.
November 1: Welcome to my new PhD student Fabian Damken!
October: Our paper about e-statistics, group invariance and any-time valid testing is published at the Annals of Statistics (PDF).
I started an intiative for Kindness and Excellence in academia. More will follow soon…
I wrote a column for NAW about my view on statistics as a field and where it should go: a paradigm shift (PDF).
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
E-statistics, group invariance and any time valid testing
Muriel Felipe Pérez-Ortiz, Tyron Lardy, Rianne de Heide and Peter Grünwald
The Annals of Statistics, 52(4), pp.1410-32 PDF arxiv proc
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