
Over four months, contributed to the ExoMol/bib repository by building and expanding a BibTeX-based knowledge base focused on machine learning and astronomy research. Developed and standardized bibliographic resources, including references for foundational ML models and exoplanet atmospheric studies, to improve citation consistency and research reproducibility. Leveraged skills in BibTeX, data management, and scientific writing to enhance metadata quality, formatting, and discoverability across multiple bibliography files. Maintained clear documentation and version control discipline, delivering features that broadened resource coverage for both machine learning and spectroscopy domains. The work emphasized maintainability, operational excellence, and support for downstream research and model development.
In March 2026, ExoMol/bib delivered targeted bibliography enhancements to support CO2 line list research and machine learning literature, improving resource discoverability and reproducibility for researchers. The work focused on updating BibTeX sources and abstracts and expanding references to ML literature to broaden research coverage.
In March 2026, ExoMol/bib delivered targeted bibliography enhancements to support CO2 line list research and machine learning literature, improving resource discoverability and reproducibility for researchers. The work focused on updating BibTeX sources and abstracts and expanding references to ML literature to broaden research coverage.
In December 2025, two major bibliography enhancements were delivered for ExoMol/bib, expanding resources for exoplanet researchers and machine learning researchers. No major bugs fixed this month. Updates focus on resource coverage, citation quality, and research reproducibility, enabling faster literature discovery and more robust model development.
In December 2025, two major bibliography enhancements were delivered for ExoMol/bib, expanding resources for exoplanet researchers and machine learning researchers. No major bugs fixed this month. Updates focus on resource coverage, citation quality, and research reproducibility, enabling faster literature discovery and more robust model development.
November 2025 – ExoMol/bib: Key bibliographic curation and ML bibliography expansion to support astronomy research. Focused updates improved data quality, formatting, and discoverability for ML applications, spectroscopy, and molecular properties.
November 2025 – ExoMol/bib: Key bibliographic curation and ML bibliography expansion to support astronomy research. Focused updates improved data quality, formatting, and discoverability for ML applications, spectroscopy, and molecular properties.
June 2025 monthly summary for ExoMol/bib focusing on feature delivery and knowledge base standardization. Implemented a BibTeX-based ML Knowledge Base References, covering foundational models and algorithms to support consistent ML citations across the project.
June 2025 monthly summary for ExoMol/bib focusing on feature delivery and knowledge base standardization. Implemented a BibTeX-based ML Knowledge Base References, covering foundational models and algorithms to support consistent ML citations across the project.

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