Student supervision

I am available to co-supervise student projects in machine learning and astrophysics. Please contact me by email if you are interested.

Master’s student supervision

  • Rodrigo Mendez Hernández (2022–2023).
    Master’s degree in Astrophysics, Universidad de Guanajuato.
    Thesis project: Entropy estimators and intracluster medium analysis with machine learning.
    Co-supervised with Cesar Caretta.

  • Julen Pastor Rodriguez (2022–2023).
    Master’s degree in Astrophysics, Valencia International University (VIU).
    Thesis: Cosmological analysis of supernovae with neural networks.
    Co-supervised with Ricardo García Salcedo.

  • Luis Marín Díaz (2022–2023).
    Master’s degree in Astrophysics, Valencia International University (VIU).
    Thesis: Reconstruction of SNIa distance modulus with Gaussian processes.
    Co-supervised with Ricardo García Salcedo.

  • José Luis López López (2021–2023).
    Master’s degree in Process Modeling and Optimization, CIMAT Aguascalientes.
    Thesis: Prediction of skateboard tricks in images using neural networks.
    Co-supervised with Liliana Guadarrama Bustos.

  • Daniel Barrera Hernández (2021–2023).
    Master’s degree in Advanced Technology, CICATA-Legaria, Instituto Politécnico Nacional.
    Thesis: Machine learning for cardiovascular disease diagnosis using electrocardiograms.
    Co-supervised with Ricardo García Salcedo.

  • Raquel Cabezuelo Ortí (2023).
    Master’s degree in Astrophysics, Valencia International University (VIU).
    Thesis: Dynamical analysis of cosmological models coupled with nonlinear electrodynamics.
    Co-supervised with Ricardo García Salcedo.

  • Francisco Javier Montaño (2021–2022).
    Master’s degree in Astrophysics, Valencia International University (VIU).
    Thesis: Cosmological analysis with SNeIa and neural networks.
    Co-supervised with Ricardo García Salcedo.

Undergraduate mentoring

  • Esteban Elías González Méndez (2023).
    Undergraduate summer research visit, ICF-UNAM.
    Physics Engineering, Universidad Tecnológica de la Mixteca.
    Project: Solving differential equations with neural networks.

  • Joshua Briones Andrade (2022).
    Undergraduate social service, ICF-UNAM.
    Project: Neural networks optimized by genetic algorithms in cosmology.
    Co-supervised with José Alberto Vázquez.

  • Juan de Dios Rojas Olvera (2021–2022).
    Undergraduate social service, ICF-UNAM.
    Project: Observational cosmology with artificial neural networks.
    Co-supervised with José Alberto Vázquez.

Thesis committee service

  • Jazhiel Chacón Lavanderos (2023–2025).
    PhD in Computer Science, Instituto Politécnico Nacional.
    Thesis project: Comparing cosmological structure formation models with deep learning.

  • Juan de Dios Rojas Olvera (2024).
    Master’s degree in Astronomy, Instituto de Astronomía, UNAM.
    Thesis: Optimization of astrophysical and cosmological systems with physics-informed neural networks.

Courses

Workshops

Workshops and community training activities in machine learning and scientific computing.