Bastian Wandt studied Mechatronics at the Leibniz Universität Hannover. During his bachelor studies he focused on robotics and automation. He received his B. Sc. in 2012 with a thesis on path planning of autonomous mobile robots. His master thesis "Ganganalyse in monokularen Bildsequenzen mittels eines morphable Shape-Motion-Models" dealt with 3D reconstruction and animation of human motions.
Since 2014 he is working as a research associate at the Institut für Informationsverarbeitung (TNT) and received his Dr.-Ing. in 2020 for the thesis "Human Pose Esimation from Monocular Images". His main research interests are human motion capture and 3D reconstruction. A special focus lies on the application of various machine learning techniques such as dimensionality reduction, compressed sensing, and deep learning. His current research analyses deep neural networks for human pose reconstruction.