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Freelancer Overview

I have extensive experience in microbiome data analysis, specializing in processing and categorizing complex biological datasets. My work involves labeling microbial communities across different gut compartments and developmental stages, using both 16S and shotgun metagenomics to track microbial succession, functional pathways, and biogeographical patterns. I integrate metadata variables, such as health status into structured datasets to enhance downstream analysis and biological interpretation. My expertise in curating, cleaning, and standardizing large-scale microbiome data has made me highly skilled in AI training data preparation, ensuring high-quality, FAIR-compliant datasets. I have worked on microbial bioprospecting and functional trait enrichment, requiring precise annotation and validation of taxonomic and functional classifications. With a strong background in RMarkdown and statistical modeling, I am adept at refining and structuring labeled data for machine learning applications in microbiome research.

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