Worked on the apache/commons-statistics repository to address a critical issue in the TruncatedNormalDistribution rejection sampler, focusing on correcting the bounds used during the mirroring check. Applied Java programming and statistical analysis to align the sampler’s logic with standard normal bounds, thereby improving the accuracy of sampling from truncated normal distributions. Collaborated on the implementation and review of the fix, ensuring robust unit testing to validate the changes. This targeted bug fix enhanced the reliability and maintainability of the library, reducing analytical risk for downstream users who depend on precise statistical distributions in their Java-based data processing workflows.