BSc in Astrophysics — Universidad Técnica Federico Santa María, Chile
Researcher interested in galaxy formation and evolution, galactic dynamics, and computational astrophysics. My work combines numerical simulations and astronomical data to study the physical processes that shape galaxies.
My current project focuses on numerical simulations of tidal dwarf galaxies (TDGs) and their formation during galaxy interactions. I study how tidal structures develop during galaxy encounters and whether self-gravitating structures can form within tidal debris, from building galaxy initial conditions to running hydrodynamical simulations and analyzing the resulting stellar and gaseous structures and their dynamics.
Tools: DICE · SWIFT · yt · Python
- Galaxy formation and evolution
- Galactic dynamics and disk galaxies
- Galaxy interactions and mergers
- Tidal dwarf galaxies
- Hydrodynamical simulations
- Supermassive black holes and AGN
- Computational astrophysics
- Machine learning applications in astrophysics
Experience with optical photometric and spectroscopic data, including the analysis of galaxies and galaxy clusters astronomical image processing, source extraction, photometric measurements, spectroscopic cross matching, and color–magnitude analysis.
Data & Tools: SDSS · Gaia · DESI Legacy Surveys · SExtractor · SWarp · IRAF · DS9
Most of my scientific analysis is done in Python, with an emphasis on numerical analysis, visualization, and reproducible research workflows.
Languages & Libraries: Python · NumPy · SciPy · Pandas · Astropy · Matplotlib · yt
Simulation Tools: SWIFT · DICE · MUSIC · RAMSES
I'm particularly interested in computational approaches to galaxy evolution, combining physical modeling, numerical simulations, and astronomical observations to understand how galaxies form and evolve.