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Ton Coolen conducts research development application new statistical machine learning methods analysis data. His work focuses on the development and application of statistical inference and machine learning methods for predictive analysis of high-dimensional data in medicine, with an emphasis on cancer research. He is also involved in the development of mathematical and statistical methods for modeling and analyzing complex many-variable systems, with applications in physics, biomedical sciences, computer science, and economics. Additionally, his research includes mathematical analysis of random networks and graphs, as well as work on neural networks, stochastic processes, immunology, and data science.
Donders Institute for Brain, Cognition and Behaviour • Nijmegen, Netherlands
Leading research on machine learning methods and their applications in various complex systems.
Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).