Holger is a Research Fellow in Geoinformatics, who applies machine learning methods to large-scale geospatial modeling problems with a focus on hydrology. In his experience, the spatial representativeness of training data is the key to successful modeling, which is why he is also interested in improving the spatiotemporal coverage of big environmental datasets.