For my bachelor thesis, I investigated the family size and age structure of Eurasian beavers (Castor fiber) under density dependence using innovative camera trap methods.
For my Msc project, I'm building on this work by developing computer-assisted tools to further improve camera trap workflows. My focus is on implementing MegaDetector, optimizing camera optics, and fostering advanced computer vision techniques for more efficient wildlife monitoring, especially regarding the beaver. Here we use the patterns as well as the shape and size of the beaver’s tail to be able to identify each individual. Thereby we aim to to further shine light on density dependence in the beaver’s ecology and improving our knowledge for future management decisions.
Beyond research, I work as a wildlife photographer, collaborating with international brands to support conservation efforts, lead photography workshops and guided trips. Through my photography, I aim to bridge the gap between scientific research and public engagement, helping others connect with and appreciate wildlife (conservation).
