🔬 Post-doc bioinformatician | 🧩 Workflow Architect | 📊 CoDA Advocate
- Designing reproducible microbiome workflows, with an emphasis on microbiome plant interactions
- Iterative development of existing tools with new features for usability and reproducibility
- Preparing a methods-focused manuscript to guide others in building effective workflows
My workflows and tools are built on the principle that CoDA comes first, ensuring analyses reflect the true structure of the data. I tend to dive deeply into the manuscripts, documentation, and even the code behind existing tools to fully understand how they work and whether they are appropriate for a given dataset. I am not a fan of doing something simply because “that’s the way it has always been done.”
At the same time, I recognize that it is not practical to completely change how microbiome data are presented within a single manuscript. Developing new methods or figure types is a gradual process that requires careful iteration and time for the broader scientific community to adopt and understand them. My goal is to strike a balance between rigor and innovation, ensuring that workflows are statistically sound while contributing to the slow but steady evolution of microbiome analysis practices.
- Advanced applications of Compositional Data Analysis (CoDA)
- Best practices for combining pipelines into precise workflows that respect compositional constraints
- CoDA-first microbiome analysis projects that value workflow precision while maintaining flexibility
- Collaborations that bridge the gap between bioinformatics users and developers
- Future open-source releases of my workflow iterations once manuscripts are published
- Workflow development and reproducible pipelines
- Amplicon workflows and microbiome data processing
- My experience teaching Data Carpentry Workshops (R programming) and serving as a teaching assistant for Amplicon and Data Carpentry Workshops
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