Ines Wilms is Associate Professor at the Department of Quantitative Economics, Maastricht University. My research focuses on  statistical learning methods, in particular the development of flexible statistical methods and software for analyzing large and/or complex datasets. I am particularly interested in analyzing large time series datasets. Demonstrating the relevance and usefulness of these methods for a wide variety of application domains including climate, defense, digital economy, energy, finance, and macro-economics is an important cornerstone of my research. Ines held previous positions at Cornell University and KU Leuven. You can find my cv here.