Andreas Baum

Andreas Baum’s research focuses on different aspects of high-dimensional data. His interests include a variety of supervised and unsupervised machine learning techniques with special emphasis on chemometrics, latent variable space methods and industrial image analysis. His research applications typically involve data from analytical chemistry, spectroscopy, remote sensing and industrial processes.