In Oct 2025, delivered substantial feature and documentation enhancements across spm-spm-docs and spm-spm, with a focus on improved onboarding, educational content, and UI-enabled data analysis workflows. Effort concentrated on consolidating installation and path guidance, expanding MEEG and preregistration tutorials, and enabling in-UI TF plotting, while maintaining quality with iterative fixes and configuration refinements.

Month: 2025-09 — spm/spm-docs: Desktop MATLAB Tutorials Documentation Upgrade. Implemented MATLAB 2024a compatibility across tutorials/docs, removed Copilot section not available in 2024a, expanded Desktop basics guide with a directory creation example, clarified array indexing, added a running/debugging MATLAB code section, and introduced a Desktop@UCL Anywhere overview with an installation link. These changes improve onboarding, reduce confusion for new users, and enhance long-term maintainability. No major bugs fixed this month in this repository. Overall impact: improved onboarding experience, clearer guidance for first-time users, and a more maintainable docs suite. Technologies/skills demonstrated: documentation engineering, version compatibility (MATLAB 2024a), content consolidation, and Git-based collaboration.

May 2025 - spm/spm-docs: Fixed missing figure in documentation by centering the figure container with inline CSS, improving readability and doc reliability. Commit: d9d72cbe0c34dee8955c7f7edf2105747a513e99. Impact: clearer docs, reduced user confusion, smoother onboarding. Skills demonstrated: CSS inline styling, documentation quality, precise version control.

January 2025 monthly summary for spm/spm: Delivered a flexible F-contrast specification in batch processing by introducing a reduced-model approach that allows listing specific design matrix columns to include or exclude. This feature mirrors the GUI F-contrast workflow, enabling more flexible, scalable, and automated batch analyses. Result: improved reproducibility, faster batch runs, and closer parity between GUI and batch workflows. This work increases business value by aligning batch analytics with GUI capabilities, reducing manual configuration, and enhancing scalability for large design matrices.

In Nov 2024, delivered a critical reliability enhancement in the spm/spm EEG preprocessing workflow by implementing a fail-fast mechanism in spm_eeg_remove_bad_trials. This change enforces an error when no good trials exist, replacing a prior warning and preventing downstream processing with invalid data. The modification halts execution early in critical scenarios, improving data integrity and reducing downstream failures. The work demonstrates defensive programming and strong quality control in preprocessing pipelines.