Rianne de Heide

Rianne de Heide serves as a Visiting Fellow in the Department of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam, with active research and teaching responsibilities evidenced by her 2024-2025 course 'Statistical Methods' and multiple 2024 publications in the Journal of the Royal Statistical Society. Her position is current and institutionally recognized through her university email and ORCID profile.

Her research centers on Bayesian Statistics and Statistical Hypothesis Testing, with deep expertise in Mathematical Optimization and Philosophy of Statistics. Key investigations include 'safe testing' methodologies for sequential analysis, Bayesian model comparison, and truth-convergence properties of open-minded Bayesianism. Her work consistently bridges theoretical statistics with philosophical foundations, addressing critical issues like p-value interpretation and optimality in testing frameworks.

Analysis of her recent publications reveals a cohesive trajectory toward developing statistically safe alternatives to traditional hypothesis testing, emphasizing error control in sequential settings. The 2024 'Safe testing' series represents significant methodological advances, while her 2022 philosophical work examines epistemological aspects of Bayesian learning convergence. This dual focus demonstrates exceptional integration of mathematical rigor and conceptual depth across statistical theory.

No scientific awards or honors are documented in available sources.

There is no evidence of student supervision, grant funding, or research team leadership in the provided materials. Her academic contributions appear focused on individual and collaborative theoretical research rather than directed mentoring or funded projects.

No dedicated laboratories, research centers, or specialized teams are associated with her profile; her work appears conducted within standard departmental structures of the Mathematics Department.