I build robust, maintainable software and reproducible analytical systems for research and data-intensive organizations. My work spans R package development, scientific pipelines, statistical computing, bioinformatics, simulation, visualization, databases, and technical training.
My background combines an MD and PhD in Bioinformatics and Computational Biology with several years of computational toxicology research at the U.S. EPA. I have also designed and taught graduate-level R programming courses and have worked across academic, clinical laboratory, government, and industry settings.
I am available for hourly consulting, fixed-scope projects, code review, and short-term contract work in research software, scientific computing, statistics, bioinformatics, and reproducible research.
tcpl— R package and SQL-backed analytical infrastructure for high-throughput chemical screening data.toxpiR— scientific decision-analysis software implementing the Toxicological Priority Index framework in R.filer2020A— a scientific publication distributed as a reproducible R package.- How to Learn to Code / Practical R — graduate-level R programming curriculum for scientific researchers.
- R software and package development
- Reproducible analytic pipelines
- Statistical and scientific computing
- Bioinformatics and genomics
- Shiny applications and analytical tools
- Legacy R code rescue, refactoring, testing, and documentation
- Scientific communication and technical training
For performance-critical R software, I also work with C, C++, and Fortran interfaces. For larger workflows, I use tools including targets, renv, Snakemake, conda, SQL, Linux/Bash, Quarto/R Markdown, and the broader Posit ecosystem.
- Website: daynefiler.com
- Selected work: daynefiler.com/work
- Services: daynefiler.com/consulting
- CV: daynefiler.com/cv/filer_cv.pdf