My general research interest is to understand how the brain learns and generates behavior, i.e. how neural signals are translated into physical interactions with the environment. We study this in songbirds, which show remarking similarities to human vocal learning and production. For my undergraduate research at the Free University Berlin I worked with different non-invasive, high-resolution imaging techniques to construct an interactive digital 3D atlas of the zebra finch vocal tract morphology (http://songbirdscience.com/resources/syrinx-anatomy-1/syrinx-anatomy). During my PhD research at the University of Southern Denmark I worked on the neuro-mechanics and bio-physical properties of the songbird vocal tract. My current research focus lies in understanding and visualizing the neural connectivity and its changes underlying song learning and vocal practice.
Computer vision based reconstruction of neuromorphological features in the songbird’s syrinx on 3D tomograms (PSI) [Student Project]
Syrinx's biomechanics in songbirds with in vivo high-speed 2D tomograms (PSI) [Student Project]