At Alfred Wegener Institute, I design and implement vision models for micro-CT 3D image processing and develop production-level solutions to extract microstructure features. I integrate scalable algorithms with HPC and containerized environments, and manage data pipelines for sensor and experimental datasets.
My research includes deep learning for ice-core micro-CT image enhancement and segmentation, alongside published machine-learning work in other application areas. At NielsenIQ, I built and maintained Python and SQL tools for data curation and decision support, and validated datasets using statistical methods.
