Ann Thom delivered a core enhancement to the UniversumX/Universum repository by integrating a Wiener filter into the EEG preprocessing pipeline. Using Python and leveraging her skills in data preprocessing and signal processing, she implemented a method to compute and compare signal-to-noise ratio before and after filtering, enabling explicit evaluation of data quality improvements. Ann refactored the codebase to embed the filter directly within the main preprocessing function, improving maintainability and workflow clarity. This work addressed the need for quantifiable performance metrics in EEG pipelines, providing a foundation for more robust machine learning applications and supporting ongoing data quality assurance efforts.