Martin studied physics in Heidelberg, where he specialised in medical physics. During his studies he worked on computed tomography at the German Cancer Research Center where he later became a Research Assistant.
Martin now works at the intersection of surgical robotics, medical imaging, and artificial intelligence. He is interested in controlling surgical robots via visual data, for example from an RGB camera, or an ultrasound device. The developed methods are used to support surgeons in previously infeasible tasks, such as the delivery of stem cells to a damaged retina, or to control an endoscope in laparoscopic surgery, where an assistant might suffer from fatigue. His goal is to drive the development of robotics in medicine and currently works on optimal control of humanoid robots and image based navigation, which has lead to open source contributions in PyTorch.