Worked on enhancing the Genomic Data Analysis Curriculum for the compbiozurich/UZH-BIO392 repository, delivering a comprehensive feature that improved both technical depth and educational value. Developed and integrated workflows for CNV analysis, ClinVar data, IGV readiness, and a 1000 Genomes pipeline, using Python, R, and PLINK to support robust genetic analysis and data management. Consolidated and documented exercises into a cohesive structure, improving reproducibility and onboarding for future cohorts. Focused on clear documentation and repository organization, the work addressed curriculum maintenance and student learning, ensuring that complex bioinformatics analyses are accessible and reproducible within an academic setting.