About me?

I have a PhD in Atmospheric Sciences from the University of Buenos Aires. During my PhD I applied data assimilation techniques to improve the representation of mesoscale convective systems and associated precipitation. I haves experience working with Numerical Weather Prediction models using HPC systems and programming languages such as R, bash, and Fortran.

I’ve been a trainer and instructor for The Carpentries since 2020 and now I’m also part of their Board of Directors. I’m an RStudio certified instructor since 2019. I’ve contributed to translations projects of Carpentries’ materials and the book Teaching Tech Together. I’m currently contributing to the translation of R message in R base and recommended packages and the Internationalization of R Help Pages project.

I’m part of Expedition Science, an Argentina-based NPO, where I lead educational projects such as science camps and workshops for students and K-12 science teachers. I was part of the board in the role of treasurer from 2013 to march 2024 and now I hope to continue contributing to their governance and organization.

I’m a professor at the Data Sciences degree courses at Guillermo Brown University where I teach Data Visualization and Data Management courses. I develop openly licensed materials to teach and learn R from scratch, reproducibility for researchers and other topics in free-range settings.

I’m part of the R-Ladies Global team, the LatinR community, and I co-founded MetaDocencia, a teaching community for Spanish-speaking educators. Currently, I am also part of rOpenSci, where I translated the Development Guide and co-authored the rOpenSci Localization and Translation Guidelines. In 2023, I participated in the Champions program presenting the agroclimatico R package to rOpenSci peer review process.

The image in the home page depicts Richardson’s “forecast factory” by L. Bengtsson. Richardson imagined a round theater filled with people who would calculate the finite differences at each point on the globe needed to solve the Navier Stoke equations and thus generate a weather forecast. The first 6-hour forecast took him a week and it was totally wrong. Today we have very accurate forecasts that are generated hourly. However, we are still using the principles that Richardson envisioned.
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Pao Corrales

Scientist and Educator