Project Manager for the Helmholtz Transfer Academy "Future Innovators". Interested in anything that can solve problems. Trying to unlock the potential of scientific development to also solve short-term problems of the real-world.

I specialize in harnessing the power of artificial intelligence for the automation of image analysis processes. My expertise encompasses a diverse range of characterization methods, from electron microscopy image analysis to advanced synchrotron tomography investigations. A unifying thread across all …

Image Registration, (Underwater) Optical Mapping, Robotic Vision, SLAM, AUV, ROV, UAV, Robotic Planar Pushing, Human-Robot Interaction

Combining Physics, Medicine, Computational Science, Computer Science, Data Science, sometimes also Applied Math for improving Radiotherapy of Cancer Patients

I work with medical images, developing a data pipe of multi-modal images from MRI and CT scans of 2, 3 and 4 dimensions.
Combining and fusing these scans into a better picture of the patient's anatomy to enhance adaptive radiotherapy, …

Part of the Applied Computer Vision Lab (ACVL) at dkfz, Heidelberg. Background in computer vision, deep learning, pattern recognition, 3d reconstruction and variational methods.

I am interested to used underwater cameras as measurement, perception and navgiation devices, to survey, count, measure and understand marine environments.

Currently working as a Post-Doc researcher at the Forschungszentrum Jülich, conducting research on 3D reconstruction, image segmentation and depth estimation. Working with 2D and 3D data.