I use Python to get my day-to-day tasks done, but I often find myself fiddling with a variety of other programming languages.

My editor of choice is Vim, although I bounce back and forth between Atom and Visual Studio Code when I feel fancy. In the "tabs vs spaces" indentation warfare I side with the tabs-team.

Committing to a PhD is all about organization and time management if you want to maintain a healthy work/life balance. For this reason, I make extensive use of Git for version control, Docker or Singularity container platforms for OS-level virtualization and reproducibility, and Notion to manage my TODO list.

Since a large portion of my work requires working on High Perfomance Computing facilities, I use Slurm and HTCondor cluster management systems on a daily basis.

I carry out theoretical simulations using the one-dimensional code Modules for Experiments in Stellar Astrophysics (MESA), a well-tested open-source stellar evolution code that provides a modular approach to stellar modelling.

In the past, I have worked on photometry projects of various astronomical targets. Back in those days, I regularly used the SAOImageDS9 visualization tool for astronomical data to display images, and the SExtractor for building catalogs of automatically detected sources along with TOPCAT.

During my MSc studies, I had the opportunity to perform observations with the historical Stockert 25m radio-telescope in Bad Münstereifel, Germany. The goal of these observational projects was twofold; The determination of the hydrogen mass of galaxies by measuring the HI 21cm line, and infering the distance of known pulsars. To this end, I have used the GILDAS and CLASS software packages for reducing spectroscopic data obtained on a single-dish telescope, as well as the SIGPROC package to handle pulsar-related data.

Nowadays, I'm getting my feet wet with pulsar-timing analysis, using TEMPO2, as a member of EPTA community.