In December 2025, Michael Hennig focused on improving data preprocessing workflows in the SpikeInterface/spikeinterface repository. He addressed a bug in the artifact removal step by refining the padding-aware mask logic, ensuring that triggers were masked accurately during signal processing. Using Python and leveraging his expertise in data preprocessing and signal processing, Michael adjusted the masking approach to account for padding values, which enhanced the robustness of the preprocessing pipeline. This targeted fix reduced the risk of false triggers and data corruption, supporting more reliable and reproducible analyses in electrophysiology projects. His work demonstrated careful attention to data integrity and workflow reliability.