Contributed to the bhklab/handbook repository by developing comprehensive documentation to improve lab communication and knowledge sharing. Built and published a Slack Communication Guidelines page, standardizing channel usage and formatting to streamline onboarding and reduce miscommunication. Expanded the handbook with detailed pages on unsupervised machine learning concepts, including K-Means, Spectral Clustering, and PCA, providing mathematical explanations and worked examples to support cross-disciplinary collaboration. Enhanced navigation for Pharmacogenomics PSets, making workflows more accessible. Leveraged Python, R, and Markdown to structure content and ensure clarity. The work focused on documentation, data science, and machine learning, emphasizing maintainability and onboarding efficiency.