Courses

  • Research Seminar I, II.
    Maestría en Ciencias (Astrofísica).
    2024, Universidad de Guanajuato, Mexico.
    8 hours.

  • Evolutionary Computation.
    Diplomado en Inteligencia Artificial Aplicada.
    2023, DGTIC-UNAM.
    Specialization course. 20 hours.
    Link to course material.

  • Probabilistic Reasoning.
    Diplomado en Inteligencia Artificial Aplicada.
    2023, DGTIC-UNAM.
    Specialization course. 10 hours.
    Link to course material.

  • Computational Tools (Introduction to Machine Learning).
    2023, CICATA-Legaria, Instituto Politécnico Nacional.
    Postgraduate course (online). 30 hours.
    Link to course material.

  • Intermediate Data Science.
    Diplomado en Ciencia de Datos.
    2022, 2023, DGTIC-UNAM.
    Specialization course. 30 hours.
    Link to course material.

  • Deep Learning.
    2022, Centro de Investigación en Matemáticas (CIMAT), Aguascalientes, Mexico.
    Master in Process Modeling and Optimization.
    Co-teaching with Dra. Liliana Guadarrama Bustos. 45 hours.
    Link to course material.

Student supervision

Master supervision

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

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

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

  • Julen Pastor Rodriguez (2022–2023).
    Master 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 in Astrophysics, Valencia International University (VIU).
    Thesis: Reconstruction of SNIa distance modulus with Gaussian processes.
    Co-supervised with Ricardo García Salcedo.

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

  • Francisco Javier Montaño (2021–2022).
    Master 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).
    Summer undergraduate research stay, 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 committees

  • 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 in Astronomy, Instituto de Astronomía, UNAM.
    Thesis: Optimization of astrophysical and cosmological systems with physics-informed neural networks.

Workshops

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

  • Organizing Committee of the HPC-ML Workshop.
    II Mini Workshop on HPC in Science and Engineering.
    2023, Instituto de Ciencias Físicas, UNAM.
    Link to workshop material.

  • Machine Learning Basics.
    2021, 3rd Mexican Astro-Cosmo-Statistics School.
    Universidad de Guanajuato.
    4.5 hours.
    Link to workshop material.

  • Cosmology with SimpleMC.
    2020, 15 hours.
    Link to workshop material.