Rianne de Heide
photo: Annabel Jeuring
UT: Department of Applied Mathematics
Zilverling (building nr. 11), room 2039
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
CWI: office L136
Science Park 123
1098 XG Amsterdam
About me
I am an Associate Professor of Mathematical Statistics and Chair of the Statistics group (STAT) at the University of Twente, and a Researcher in the Machine Learning group at the Centrum Wiskunde & Informatica.
I work on problems and solutions in machine learning and statistics. My research focuses on hypothesis testing, Bayesian learning and pure exploration 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 hugely enjoy working with my group on a selection of these topics.
I am a member of the Young Academy Twente and the EMS Young Academy. I am 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. I started an intiative for propagating kindness in academia (news article UToday, website).
I am an ELLIS member. My current work and part of my group is funded by NWO VENI and M2 grants. I am a member of the Round Table Mathematics Round Table Mathemnatics, and Associate Editor of JRSS-B.
Outside of work, some easy topics for conversation are: triathlon, hiking, training dogs, raising kids, languages, classical music, and much more!
News
6-9 July: I speak at the IMS Annual Meeting 2026 in Salzburg.
29 June - 3 July: SAVI 2026 will take place at the University of Twente! Wouter Koolen and I are the local organisers.
4 June: I speak at the AI & Mathematics Workshop in Groningen.
1 June: I speak at the Netherlands Cancer Intstitute.
27-30 April: I am invited for a research visit to the KU Leuven.
10 April: I speak at Leve de Wisunde!, a conference for Dutch math teachers in Amsterdam.
9 April: I am appointed as a member of the Round Table Mathematics Round Table Mathemnatics.
7-8 April: I speak at the BeNeLux Mathematical Congress in Antwerp.
16 February: welcome to visiting PhD student Ivan Melev from LMU Munich, who is going to join our group for a couple of months.
February-April: I teach Medical Statistics (Medische Statistiek) to students in the Bachelor Gezondheidswetenschappen.
30 January: I am plenary speaker for the event A PhD, is that for me?, organised by KWG in Amsterdam.
1 January I am appointed as Associate Editor of JRSS-B.
1 January I am appointed as a member of the EMS Young Academy.
Research
My research interests include
Bandits, Reinforcement Learning
Hypothesis testing with e-values, any-time valid testing, multiple testing
Group invariance in statistics
Bayesian methods
Learning theory
Imprecise probabilities in statistics
Foundations of ML, stats and probability theory
Recent papers
Carefree multiple testing with e-processes
Yury Tavyrikov, Jelle J. Goeman and Rianne de Heide
Arxiv, 2025, submitted
Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing
Ziyu Xu, Aldo Solari, Lasse Fischer, Rianne de Heide, Aaditya Ramdas, and Jelle Goeman
Arxiv, 2025
This work subsumes: The e-Partitioning Principle of False Discovery Rate Control
Jelle Goeman, Rianne de Heide and Aldo Solari
Arxiv, 2025, submitted