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Rianne de Heide is an Associate Professor at the University of Twente in the Department of Applied Mathematics. Her research interests primarily lie in the areas of machine learning and statistics, focusing on hypothesis testing, Bayesian learning, and best-arm identification problems. Currently, she is involved in the VENI project titled 'E-values Multiple Testing', where she aims to establish a solid mathematical foundation for various statistical topics while making the theory accessible to mathematical audiences. She also explores the philosophical foundations of Bayesianism and is dedicated to promoting diversity, equity, and inclusion within the academic workplace, ensuring that everyone feels valued. Outside of her academic pursuits, she enjoys running, cycling, swimming, hiking, and training dogs, while also balancing her responsibilities as a parent. Rianne values the flexibility afforded to her at the University of Twente, allowing her to work partly remotely and collaborate with other institutions such as LUXs Data Science in Leiden and CWI VU Mathematics in Amsterdam.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.