
Contributed to QMCSoftware/QMCSoftware by expanding statistical modeling capabilities and improving repository maintainability. Developed support for multivariate Student t distributions and joint true measures, enabling advanced modeling with adapters for transforming uniform samples and calculating log probabilities. Enhanced demo usability and documentation, reorganizing examples under Importance Sampling and refining the true_measures section for clarity. Addressed a doctest import path issue to ensure reliable software testing. Improved repository hygiene by updating .gitignore rules and removing unnecessary tracked files, reducing noise and streamlining onboarding. Work was delivered using Python, Jupyter Notebooks, and version control, emphasizing reproducibility and clean project organization.
January 2026 monthly performance summary for QMCSoftware/QMCSoftware, focusing on delivering advanced joint true measures, improving demos/docs, and strengthening repository hygiene to boost modeling accuracy, usability, and maintainability.
January 2026 monthly performance summary for QMCSoftware/QMCSoftware, focusing on delivering advanced joint true measures, improving demos/docs, and strengthening repository hygiene to boost modeling accuracy, usability, and maintainability.
December 2025: Delivered two critical enhancements for SciPyWrapper in QMCSoftware/QMCSoftware, focused on expanding statistical modeling capabilities and improving repository hygiene. Implemented support for multivariate Student t distributions with updated documentation and a strengthened demo example; plus cleanup to the SciPyWrapper demos by stopping tracking generated PNG figures and updating the .gitignore to prevent unnecessary files from being committed. No user-facing bugs were reported; maintenance work reduced repo noise and improved reproducibility and onboarding.
December 2025: Delivered two critical enhancements for SciPyWrapper in QMCSoftware/QMCSoftware, focused on expanding statistical modeling capabilities and improving repository hygiene. Implemented support for multivariate Student t distributions with updated documentation and a strengthened demo example; plus cleanup to the SciPyWrapper demos by stopping tracking generated PNG figures and updating the .gitignore to prevent unnecessary files from being committed. No user-facing bugs were reported; maintenance work reduced repo noise and improved reproducibility and onboarding.

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