Courses


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

  • Course: Computational tools (intro to ML).
    2023, CICATA-Legaria, IPN.
    Postgraduate (online). 30 hours.
    Link to course material.

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

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

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

  • High school physics and mathematics courses (2013-2014).
    CECyT-8 of the Instituto Politécnico Nacional and other institutions.
    Courses of Algebra, Physics, Differential equations, etc.


Workshops


  • Workshop: Machine Learning Basics.
    2021, 3rd edition of Mexican Astro-Cosmo-Statistics School.
    Universidad de Guanajuato.
    From June 28 to July 2.
    4.5 hours.
    Link to workshop material.

  • Workshop: Cosmología con SimpleMC/Cosmology with SimpleMC.
    2020, Instituto de Ciencias Físicas, UNAM.
    15 hours.
    Link to workshop material.


Students


Former:

  • Raquel Cabezuelo Ortí (2023).
    Master in Astrophysics (graduated).
    Valencia International University (VIU).
    Thesis (Spanish version): Dynamical analysis of a homogeneous and isotropic cosmological model coupled with nonlinear electrodynamics.
    Co-supervised with Ricardo García Salcedo.

  • Esteban Elías Gonzalez Mendez (2023).
    Summer research stay for undergraduate students.
    ICF-UNAM.
    Physics engineering (Universidad Tecnológica de la Mixteca).

  • José Luis López López (2021-2023).
    Master in Process Modeling and Optimization (graduated).
    Centro de Investigación en Matemáticas (CIMAT), unidad Aguascalientes.
    Thesis (Spanish version): Prediction of skateboard tricks in images using neural networks.
    Co-supervised with Dra. Lilí Guadarrama.

  • Julen Pastor Rodriguez (2022-2023).
    Master in Astrophysics (graduated).
    Valencia International University (VIU).
    Thesis (Spanish version): Cosmological analysis of supernovae with neural networks.
    Co-supervised with Ricardo García Salcedo.

  • Luis Marín Díaz (2022-2023).
    Master in Astrophysics (graduated).
    Valencia International University (VIU).
    Thesis (Spanish version): Reconstruction of the SNIa distance module with observational data and Gaussian processes.
    Co-supervised with Ricardo García Salcedo.

  • Daniel Barrera Hernández (2021-2023).
    Master in Advanced Technology (graduated).
    CICATA-Legaria, Instituto Politécnico Nacional.
    Thesis (Spanish version): Application of machine learning to the diagnosis of cardiovascular diseases using electrocardiograms.
    Co-supervised with Ricardo García Salcedo.

  • Francisco Javier Montaño (2021-2022).
    Master in Astrophysics (graduated).
    Valencia International University (VIU).
    Thesis (Spanish version): Cosmological analysis with SNeIa and neural networks.
    Co-supervised with Ricardo García Salcedo.

Advisory

As a postdoctoral researcher in Dr. José Alberto Vázquez’s group at ICF-UNAM, I have advised some undergraduate physics students from the Facultad de Ciencias, UNAM: