During April 2026, Christoph Huber focused on improving the reliability of MEG sensor data interpolation in the mne-tools/mne-python repository. He addressed a critical bug by ensuring that channel metadata was correctly handled and unnecessary fields were reset across different sensor types, which enhanced the accuracy and consistency of MEG interpolation results. Christoph’s work, implemented in Python and leveraging his skills in data analysis and scientific computing, reduced downstream processing errors and improved cross-sensor consistency. The solution was collaborative, CI-friendly, and integrated seamlessly into the existing codebase, reflecting a thoughtful approach to maintaining robust scientific software infrastructure.