WN van Wieringen

WN van Wieringen is a Researcher affiliated with the Faculty of Science at Vrije Universiteit Amsterdam. He holds roles as a Research Associate in the Mathematics department and within Amsterdam Neuroscience’s Cellular & Molecular Mechanisms and Complex Trait Genetics divisions. His work bridges statistical methodology and biomedical applications, focusing on high-dimensional data analysis and network modeling.

Research interests include covariance matrix estimation, Gaussian graphical models, penalized regression, and their applications in genetics, molecular biology, and clinical studies. His contributions span theoretical developments and practical implementations, with a focus on advancing statistical tools for biological and medical research.

He teaches courses such as Biomedical Mathematics and Statistics for High-Dimensional Data, reflecting his expertise in applying statistical methods to complex datasets. With over 83 research outputs, van Wieringen collaborates internationally, addressing topics like gene expression regulation, fetal growth modeling, and wound healing mechanisms.