Students, courses and workshops

• Courses
• Workshops
• Students

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Courses

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

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

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

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

• 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.

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Workshops

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• 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.

• Cosmology with SimpleMC.
  2020, Instituto de Ciencias Físicas, UNAM.
  15 hours.
  Link to workshop material.

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Students

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Former:

• Raquel Cabezuelo Ortí (2023).
  Master in Astrophysics.
  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.
  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.
  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.
  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.
  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.
  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:

• Juan de Dios Rojas Olvera (2021-2022).
• Joshua Briones Andrade (2022).
• Hilkar Val Soberanes (2022-2023).