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Sebastiaan obtained his Bachelor's degree in Software Engineering before pursuing dual Master's degrees in Data Science and Artificial Intelligence at Radboud University. During his Master's program, he spent time abroad in Madrid, Spain, working as a researcher on the prediction of early-onset dementia using explainable models. This experience led him to become an ambassador for the International Society to Advance Alzheimer's Research and Treatment (ISTAART). In September 2024, he will begin his Master's thesis under the supervision of [member/linda-studer], focusing on developing a tissue segmentation model for kidney transplant biopsies, with the goal of automatically quantifying inflammation in different tissue compartments. Concurrently, he will also serve on the university student council.
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Sebastiaan obtained his master’s degree in Data Science from Radboud University in April 2024. His thesis, conducted within the Computational Pathology Group, focused on developing a tissue segmentation model for kidney transplant biopsies, aiming to automatically quantify inflammation in different tissue compartments. Following this project, Sebastiaan remained with the group to work on the AMMODO project. Supervised by Geert Litjens, this project aims to develop large multi-modal foundation models for digital pathology, with the goal of creating AI systems that can serve as co-pilots for pathologists.

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