About me

About Me

I’m Carson Stacy, a statistician and computational biologist working at the intersection of statistical modeling, machine learning, and reproducible data analysis. I like taking messy, high-dimensional data and turning it into interpretable models that answer real questions — and building the tools and pipelines that let others do the same.

I’m currently a Postdoctoral Research Fellow at the Royal College of Surgeons in Ireland (RCSI) in Dublin, in the Das Lab in the School of Pharmacy & Biomolecular Sciences, where I apply these methods to the epigenomics of rare head and neck cancers — developing DNA methylation-based machine-learning classifiers for sinonasal tumors and integrating bulk and single-cell multi-omic data to predict metastasis.

I hold an M.S. in Statistics & Analytics and a Ph.D. in Cell & Molecular Biology (concentration: Bioinformatics) from the University of Arkansas, both completed in 2025. My statistical thesis developed ordinal regression methods for phenotype analysis in genomic experiments, and my doctoral work used CRISPR screens and large-scale RNA-seq to identify genomic determinants of stress tolerance in wild yeast. Across both, the throughline is the same: rigorous statistics and machine learning applied to biological questions.

Reproducibility is central to how I work. I’ve built a range of open-source tools and pipelines — R packages, Nextflow workflows, and interactive web apps — and I co-developed and taught a graduate-level Genomic Data Analysis course, which you can find at clstacy.github.io/GenomicDataAnalysis.

Feel free to explore:

• Publications – Papers and preprints
• Talks – Conference presentations
• Teaching – Courses and materials
• Blog Posts – Writing on bioinformatics, stats, and more
• CV – Full background and experience

You can also find me on LinkedIn, GitHub, Google Scholar, or ORCID.