In April 2025, Armin Hofmann developed a Mahalanobis distance indicator for the Ouranosinc/xclim repository, focusing on robust statistical computation and end-user reliability. He implemented the feature using Python and JSON, ensuring comprehensive documentation and changelog integration to support reproducibility and governance. Armin addressed error handling by refining the Mahalanobis calculation to catch LinAlgError during matrix inversion, improving stability in numerical edge cases. He also updated metadata, including the AUTHORS list and zenodo records, to enhance attribution. His work demonstrated depth in numerical computing, documentation, and metadata management, delivering a well-integrated feature and improved runtime reliability for the project.