
Contributed to the compbiozurich/UZH-BIO392 repository by developing genomics education materials and a reproducible CNV cancer classification workflow. Leveraged Python, Jupyter Notebooks, and pandas to create structured notebooks, datasets, and machine learning pipelines for teaching and research in comparative genomics and cytogenetics. Enhanced documentation and onboarding resources, including a Cytogenetic Techniques Reference Guide detailing FISH, SKY, and CGH methodologies, to support knowledge transfer and future coursework. Focused on content organization, data analysis, and scientific writing, the work emphasized clarity, reproducibility, and practical application, laying a foundation for scalable genomics education and streamlined research workflows without reported bug fixes.
May 2026 monthly summary for compbiozurich/UZH-BIO392: Delivered targeted documentation by adding a Cytogenetic Techniques Reference Guide that consolidates notes on FISH, SKY, and CGH, including practical applications, advancements, and limitations to support teaching and research workflows. No major bug fixes reported this month; focus was on feature delivery and knowledge transfer.
May 2026 monthly summary for compbiozurich/UZH-BIO392: Delivered targeted documentation by adding a Cytogenetic Techniques Reference Guide that consolidates notes on FISH, SKY, and CGH, including practical applications, advancements, and limitations to support teaching and research workflows. No major bug fixes reported this month; focus was on feature delivery and knowledge transfer.
April 2026 achieved substantive progress in the compbiozurich/UZH-BIO392 repository, delivering education materials for genomics coursework and establishing an end-to-end CNV cancer classification workflow. The work enhanced teaching resources, improved documentation, and provided a reproducible ML pipeline, aligning with business objectives of scalable education and data-driven training.
April 2026 achieved substantive progress in the compbiozurich/UZH-BIO392 repository, delivering education materials for genomics coursework and establishing an end-to-end CNV cancer classification workflow. The work enhanced teaching resources, improved documentation, and provided a reproducible ML pipeline, aligning with business objectives of scalable education and data-driven training.

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