I am a Senior Machine Learning Engineer at Invenio-Imaging. I build AI systems for complex visual data at scale, from natural images and videos to 2D and 3D microscopy, and I ship them as tools.
I focus on machine learning and computer vision problems like multimodal learning, self-supervised learning, segmentation, and tracking. Alongside the models, I build the machine learning infrastructure that turns these methods into reliable systems on real imaging data. I work end-to-end, from data annotation, model training and distributed GPU workflows to deployable tools, interactive GUIs, and data management platforms.
Previously, I was a researcher at Helmholtz Munich (Institute of AI for Health).
Before that, I was a software engineer at European XFEL, where I built computer vision pipelines, databases, microscopy data management systems, hardware control interfaces, and web tools for experimental workflows at scale.
I received my Ph.D. in Computer Science, magna cum laude, from the University of Siegen, where I worked on video instance and motion segmentation. I received my Master's degree in Computer Science from Saarland University.

A large-scale expert-annotated 3D image dataset of dermal tissue macrophages
Nature Scientific Data, 2026





A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking
ACCV, 2020