
During a two-month period, Diego Del Castillo developed and enhanced metabolomics data pipelines within the childhealthbiostatscore/CHCO-Code repository. He implemented a kynurenine-to-tryptophan ratio calculation, adding a new column to the base dataset and improving biomarker analytics reproducibility using R and R Markdown. Diego also established a robust workflow for CKM metabolomics data, integrating baseline plasma and outcomes data, performing data cleaning, and enabling downstream survival modeling. His work focused on data wrangling, statistical analysis, and streamlined reporting, resulting in reproducible, high-quality analytics that support CKM progression insights and accelerate data-driven decision-making in health analytics.

This month, the CHCO-Code repository focused on establishing a robust metabolomics data pipeline for CKM, enabling baseline integration, data wrangling, and streamlined reporting to support CKM progression analyses. Work laid the foundation for reproducible analytics and downstream survival modeling, with an emphasis on data quality, baseline alignment, and efficient reporting.
This month, the CHCO-Code repository focused on establishing a robust metabolomics data pipeline for CKM, enabling baseline integration, data wrangling, and streamlined reporting to support CKM progression analyses. Work laid the foundation for reproducible analytics and downstream survival modeling, with an emphasis on data quality, baseline alignment, and efficient reporting.
During August 2025, delivered a new kynurenine-to-tryptophan ratio calculation feature in CHCO-Code, adding a new column 'kyu.tryp.ratio.in.nM/mM' to the base dataset across two R Markdown files. Major commit: 9c699f2f2dbf34f8dcd2fabc2503acebf683e127. Impact: enhances biomarker analytics, enabling richer downstream insights and more robust reporting; improves reproducibility through R Markdown workflows. Technologies/skills: R, data wrangling, R Markdown, and reproducible data pipelines. Business value: accelerates biomarker analysis, supports data-driven decisions for health analytics.
During August 2025, delivered a new kynurenine-to-tryptophan ratio calculation feature in CHCO-Code, adding a new column 'kyu.tryp.ratio.in.nM/mM' to the base dataset across two R Markdown files. Major commit: 9c699f2f2dbf34f8dcd2fabc2503acebf683e127. Impact: enhances biomarker analytics, enabling richer downstream insights and more robust reporting; improves reproducibility through R Markdown workflows. Technologies/skills: R, data wrangling, R Markdown, and reproducible data pipelines. Business value: accelerates biomarker analysis, supports data-driven decisions for health analytics.
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