Rianne de Heide
About meI am an assistant professor in the Department of Mathematics, at the Vrije Universiteit Amsterdam. I work on problems and solutions in machine learning and statistics. My research focuses on sequential learning, and in particular on (sequential) hypothesis testing, Bayesian learning and best-arm identification problems. 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. Veni grantI am very happy that NWO (the Dutch Research Council) awarded my proposal “E-values for multiple testing” a Veni grant of 280.000 euros. With this I can conduct my own research for the coming 3 years. You can read about my research plans here: https://vu.nl/en/news/2023/veni-grant-for-rianne-de-heide-s-research-into-new-mathematical-theory (Nederlands: https://vu.nl/nl/nieuws/2023/veni-beurs-voor-onderzoek-rianne-de-heide-naar-nieuwe-wiskundige-theorie) Cor Baayen AwardI was awarded the 2023 Cor Baayen Early Career Researcher Award (news article). Since I'm on pregnancy/maternity leave at the moment, I will probably receive it and give a talk about my work in the ERCIM spring meeting in 2024. News
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ResearchMy research interests include
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