I am an astrophysicist working at the intersection of cosmology, statistical inference and large astronomical surveys. My research focuses on extracting cosmological information from HII galaxies (like these NGC 604 / I Zw 18) using Bayesian frameworks and high-performance data pipelines.

Current status:

• PhD student in Astrophysics (Universidad de Guanajuato)
• ${H}_{0}$ measurement and Hubble tension through the $L-\sigma$ relation
• Working on nested sampling and cosmological parameter estimation

Featured work methods:

• Bayesian inference (nested sampling, likelihood modeling)
• Spectral analysis and large-scale survey data (STARLIGHT, FADO, and CIGALE)
• Statistical modeling and uncertainty quantification
• Scientific Python ecosystem
• HPC environments (SSH, SLURM, parallelization)

I build tools for:

• Reproducible cosmological analysis
• Survey data handling and visualization
• Statistical modeling for large datasets
• Scientific communication and outreach. I'm an animation enthusiast; I use Manim to create presentations and science clips.
• I was former member of the DESI Collaboration for over a year (Lyman - $\alpha$ group)
• Experience with >200,000 spectra from eBOSS & DESI

I'm open to new projects / collaborations in academia or industry; places where I can gain experience through growth and innovation.

Research Interests:

Cosmology • Large-Scale Structure • Intergalactic Medium • Bayesian Statistics • Dark Matter Models • Survey Systematics • Dark Energy Models • Extragalactic Astrophysics • Extragalactic HII regions • Spectral synthesis

I’m interested in collaborations at the interface between:

Astrophysics • Data Science • Statistical Modeling • AI for Science • Metaheuristics & Machine Learning Optimization