Senior software developer at Theia Finance Labs | Associate editor of software peer-review at rOpenSci

I help turn ideas into data science projects:

I work with small teams and support their projects from end to end. I estimate effort, manage project boards, gather/wrangle/analyse data, build CI/CD workflows, engineer software systems, test, report, build interactive applications, teach, and mentor.

Most of my work is open source, and for non-for profit organisations.

My previous doctoral and postdoctoral research (marine ecology) helps me understand the context and value of my work. I use systems and best practices to steadily advance projects despite great uncertainty, pressing timelines, and resticted budget.

Except for the innevitable cost of cloud servers, my favorite tools are open source and free:

• OS: Ubuntu.
• Containers: Docker.
• Docker images: rocker.
• Terminal flavor: oh my zsh.
• Version control: git.
• Git host: GitHub.
• Git client for GitHub: gh CLI.
• CI/CD: GitHub Actions.
• Project management: GitHub projects.
• Programming language: R.
• Text editor/IDE: vim, RStudio.
• R packages: From r-lib, tidyverse, rstudio, and ropensci.

Previously:

• I worked remotely for 2° Investing Initiative (Germany) where I built 'r2dii': A collection of R packages for banks to analyze climate scenarios (website, CRAN).
• I worked at the Smithsonian's NMNH (USA) for ForestGEO where I built 'fgeo': A collection of R packages to analyze forest diversity and dynamics (website, CRAN).

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