Timo Deist is a researcher at ASML specializing in machine learning algorithms, optimization, and image processing, contributing to advancements in semiconductor lithography. They previously served as a postdoctoral researcher at Centrum Wiskunde & Informatica, focusing on multi-objective optimization and machine learning for deformable image registration. Timo earned a PhD from Maastricht University, where their research centered on machine learning applications in healthcare, and has held roles as a scientist, data scientist, and teaching assistant across various institutions. Additionally, Timo has academic credentials in biohealth computing and operations research, graduating with honors from multiple universities.
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