Christian Geiß received the M.Sc. degree in applied geoinformatics from the Paris Lodron University of Salzburg, Salzburg, Austria, in 2010, and the Ph.D. degree (Dr. rer. nat.) in geography from the Humboldt University of Berlin, Berlin, Germany, in 2014. In 2025, he successfully completed a Habilitation in geography with the Julius-Maximilians-Universität Würzburg (JMU), W¨urzburg, Germany, with the focus on “Collective Sensing Techniques and Artificial Intelligence for Natural Hazard Risk and Impact Assessment.” Since 2010, he has been with the German Remote Sensing Data Center, German Aerospace Center, Oberpfaffenhofen, Germany, where he is currently the head of the research group “georisks.” In 2017, he was a Visiting Scholar with the Center for Risk in the Built Environment, University of Cambridge, Cambridge, UK Since 2023, he has been a Professor of “georisk assessment with earth observation techniques” with the Department of Geography, University of Bonn, Bonn, Germany. His research interests include the development of machine learning methods for the interpretation of earth observation data, multimodal remote sensing of the built environment, exposure and vulnerability assessment in the context of natural hazards, such as earthquakes, tsunamis, and floods, as well as techniques for automated damage assessment following natural hazard-induced disasters.