Reproducible science
Share fully reproducible digital research objects (data, code, results, software, provenance).
Software containers
Building and using containerized software, Docker and Singularity.

Python
Experience in generic scripting and programming with Python for research software engineering, data science, neuroimaging (NumPy, pandas, sklearn, matplotlib, pyplot, seaborn, pymvpa, nibabel, nipype, fmriprep, fitlins, pybids,…), continuous integration, unit testing, Python packaging, some debugging experience.

Linux
Using as the main operating system (Debian). Capable of writing bash/shell scripts and using major command line tools.

Miscellaneous tools
Text editors: LaTeX, vim, pycharm; Graphics: Inkscape, Gimp, Adobe Photoshop; technical writing: Sphinx, readthedocs, building static websites with hugo, Other (statistical) programming languages: HTML, R, STATA, SPSS.

Technical writing
I have extensive experience in creating accessible user documentation for complex software tools.