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 in the Statistics group (STAT) at the University of Twente, and a Senior 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 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 am a member of the Young Academy Twente. 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.
Outside of work, some easy topics for conversation are: triathlon, hiking, training dogs, raising kids, languages, classical music, and much more!
News
November: I am invited to the Pompeu Fabra University in Barcelona, where I will talk about e-values and spend the rest of the week writing a book.
October: I talk at the Wold Statistics Congress in The Hague, and I will receive the 2025 Bernoulli Society New Researcher Award.
September 8: Welcome to my new PhD student Aurèle Mingam, funded by the NWO M2 grant and co-supervised with Jelle Goeman.
September 1: Welcome to my new PhD student Rovanos Tsafack Nzanguim, funded by the NWO M2 grant and co-supervised with Jelle Goeman.
September 1: The University of Twente promoted me to Associate Professor (Universitair Hoofddocent).
Jelle Goeman and I were awarded an NWO M2 grant of f 742.708 euro's. The funds allow us to employ 2 PhD students, who will be co-supervised by both of us, and a scientific programmer. (news article UT)
UToday wrote an article about our Kindness and Excellence in Academia initiative (news article UToday)
I will be awarded the 2025 Bernoulli Society New Researcher Award (news article UT, niewsbericht UT Nederlands)
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