Science benefits from openness. For my research, I practice open-science by publishing
preprints of my articles, by publishing open-source software and by participating in the
open-source communities of scientific Python programmers and Fortran programmers.
Open editorial activities
- Proceedings of EuroSciPy 2013 and 2014 (see the publications page).
- The SciPy Lecture Notes: One document to learn numerics, science, and data with Python.
- Associate editor with ReScience, an open-access online journal promoting reproducibility.
Open source software
My open-source contributions are visible on the GitHub development
I collaborate or have collaborated to the development of:
- H5MD: a file format specification, based upon HDF5, aimed at the efficient and portable storage of molecular data
- The Molecular Dynamics software ESPResSo ("Extensible Simulation Package for Research on Soft Matter Systems")
- ESPResSo++ an extensible, flexible and parallel simulation software for soft matter research
- fortran90.org: a website about modern Fortran