Software
I believe that scientific progress depends on more than individual results. It requires tools, data, and workflows that are easily Findable, Accessible, and Reusable. By packaging tools, documenting them, and releasing them under open-source licenses, researchers lower barriers for collaboration and reproducibility. This is the philosophy behind the FAIR principles (GO FAIR), ensuring that scientific outputs are Findable, Accessible, Interoperable, and Reusable. Organizations such as the Software Sustainability Institute and initiatives like rOpenSci highlight how packaging and sharing code responsibly accelerates discovery across disciplines. These projects represent my commitment to FAIR principles.
Anyone who wants to learn more about code packaging in R or publishing on CRAN should read Hadley Wickham and Jennifer Bryan’s incredible book, R Packages (r-pkgs.org).
R
klovan
Lead author. A comprehensive set of geostatistical, visual, and analytical methods.
FAIRmaterials
Lead author. Ontology creation and visualization tools for FAIRification.
netSEM
Contributor. Structural equation modeling for polymer degradation pathways.
Python
sawkit (In Progress)
Lead author. Analysis tools for interferometric measurements of surface acoustic waves.