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Karel Kroeze is a researcher and data scientist at the University of Twente within the Behavioural Data Science incubator, BMS Lab. He supports BMS researchers and staff by leveraging the advantages of data science in their daily work. This ranges from applying advanced methods to address research topics, innovating the use of complex datasets, to creating comprehensive visualizations that communicate research findings effectively. His experience includes designing smart learning environments that provide personalized feedback to students based on their levels. Karel has also developed multidimensional computerized adaptive tests and has created an R package for simulating and administering such tests. Beyond his professional pursuits, he enjoys technology, including developing award-winning game mods and creating smart home devices with Raspberry Pi.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.