I am a geographer currently working as postdoc at Humboldt-University of Berlin.

My research focusses on inferring ecological patterns and processes from remote sensing data, with strong links to landscape and macrosystems ecology. I am particularly interested in understanding the dynamics of forest ecosystems, that is how and why forests change through space and time. As trees are long-living organisms, I make intensive use of long-term satellite records (e.g., Landsat). Much of my research circles around integrating those long-term satellite records with additional environmental data (e.g., meteorological observations) using (Bayesian) statistical models. That way, I hope to facilitate our understanding of the complex dynamics of forest ecosystems and their underlying drivers at temporal and spatial scales difficult to tackle with other data sources.

Besides research, I am a big fan of developing statistical tools in the programming language R. I also teach statistical modeling to under-graduate and graduate students, as well as I offer support to other researchers aiming at using more complex (Bayesian) statistical models.

My free-time is mainly occupied by climbing, hiking, or skiing, which I try to document here. I also enjoy cooking and a good bottle of wine after spending the day outside.