Dr. R. de Heide | People Pages: Find employees & contact details

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 Mathematics, and Associate Editor of JRSS-B.

Please see my website: https://riannedeheide.github.io

Organisations

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.

For more information and my publications, see my website: https://riannedeheide.github.io

Publications

2026

Ordinal patterns based time series analysis and applications in privacy (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. Micali, G.https://doi.org/10.3990/1.9789036572583

2025

Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing (2025)[Working paper › Preprint]. ArXiv.org. Xu, Z., Solari, A., Fischer, L., de Heide, R., Ramdas, A. & Goeman, J.https://doi.org/10.48550/arXiv.2509.02517Authorship Verification of the Disputed Pauline Letters through Deep Learning (2025)HIPHIL Novum, 10(1). Beijen, E. & de Heide, R.https://doi.org/10.7146/hn.v10i1.147482The e-Partitioning Principle of False Discovery Rate Control (2025)[Working paper › Preprint]. ArXiv.org. Goeman, J., de Heide, R. & Solari, A.https://doi.org/10.48550/arXiv.2504.15946Carefree multiple testing with e-processes (2025)[Working paper › Preprint]. ArXiv.org. Tavyrikov, Y., Goeman, J. J. & de Heide, R.https://doi.org/10.48550/arXiv.2501.19360

2024

Authors' reply to the Discussion of 'Safe testing' (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(5), 1163-1171. Grünwald, P., De Heide, R. & Koolen, W.https://doi.org/10.1093/jrsssb/qkae069Safe Testing (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(5), 1091-1128. Grünwald, P., de Heide, R. & Koolen, W.https://doi.org/10.1093/jrsssb/qkae011E-statistics, group invariance and anytime-valid testing (2024)Annals of statistics, 52(4), 1410-1432. Pérez - Ortiz, M. F., Lardy, T., de Heide, R. & Grünwald, P.https://doi.org/10.1214/24-AOS2394

2023

Attribution-based Explanations that Provide Recourse Cannot be Robust (2023)Journal of machine learning research, 24, 1-37. Fokkema, H., de Heide, R. & van Erven, T.https://www.jmlr.org/papers/volume24/23-0042/23-0042.pdf

2022

On the truth-convergence of open-minded Bayesianism (2022)Review of Symbolic Logic, 15(1), 64-100. Sterkenburg, T. F. & de Heide, R.https://doi.org/10.1017/S1755020321000022

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Courses academic year 2024/2025

There were several interviews with me the last year in (national) newspapers and magazines: NAW (PDF), NRC (PDF, Link), The New Scientist (Picture), and Ad Valvas (Link).