I am a postdoctoral researcher at the Advanced Robotics and Computationally Augmented Environments (ARCADE) Lab, led by Prof. Mathias Unberaht, at Johns Hopkins University. My research focuses on machine learning and computer vision for medical applications and AI-assisted surgical procedures. I earned my PhD from the Technical University of Munich in 2022 under the direction of Prof. Nassir Navab, where I focused on deep learning for medical image analysis, utilizing convolutional and graph convolutional neural networks. During my doctoral studies, I worked on methods for abdominal CT segmentation and contributed to detection and localization techniques in colonoscopy video sequences.

As a postdoctoral fellow, my research centers on medical image analysis, 3D scene analysis, and geometric understanding within the medical field, with a particular interest in surgical scenarios. I collaborate in projects that utilize point-of-view cameras and pupillometry data to assess surgical skills and estimate cognitive load. Additionally, I work on 3D scene understanding using endoscopic frame sequences and videos from the operating room (OR), with applications in surgical navigation and scene reconstruction. This includes employing SLAM-based approaches for camera pose estimation and anatomical 3D reconstruction.