🔬 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
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
- I have experience teaching Data Carpentry Workshops (R programming) and serving as a teaching assistant for Amplicon and Data Carpentry Workshops
- she/her