Rianne de Heide
photo: Annabel Jeuring
UT: Department of Applied Mathematics
Zilverling (building nr. 11), room 2057
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 mathematical statistics and machine learning, especially hypothesis testing with e-values and anytime-valid inference, multiple testing, Bayesian learning and pure exploration. Much of my work is about developing rigorous theory for more flexible ways of learning from data, and making that theory accessible beyond mathematical statistics.
I also care strongly about academic culture, supervision and creating an environment in which ambitious research and kindness can coexist. More about me.
News
30 August - 2 September: I teach E-values and Multiple Testing at the CUSO Summer School 2026 in Anzère, Switzerland.
20 August: Our paper Carefree multiple testing with e-processes, with Yury Tavyrikov and Jelle Goeman, has been published in the Electronic Journal of Statistics (paper).
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.
1 June: I speak at the Netherlands Cancer Institute.
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
-
Dynamic e-closure for online hypotheses with any-time-valid evidence: closure principles and projective mergers
Rianne de Heide
arxiv, 2026 -
Carefree multiple testing with e-processes
Yury Tavyrikov, Jelle J. Goeman and Rianne de Heide
Electronic Journal of Statistics 20 (2026), no. 2. doi:10.1214/26-EJS2546 arxiv proc