Patricia Iglesias Navarro

Research

 Nov.2021-Jul.2022 Universidad de La Laguna & Instituto Astrofísico de Canarias 

Early-career research fellowship                                                                                          

  • Intended for university students to carry out research tasks in university departments.
  •  300 hours in 9 months. 
  •  I worked in the Astrophysics department, exploring Deep Learning techniques for the study of barred galaxies, as well as for the reconstruction of SFH of galaxies from their spectra, using IllustrisTNG simulations.                                                    

Nov.2023-Today Instituto Astrofísico de Canarias                                

Predoctoral Researcher                                

  • FPI fellowship in Galaxy formation and evolution. Project titled "Unveiling the structural transformations of galaxies in the era of JWST and Euclid with Artificial Intelligence."   
  • LSST Discovery Alliance Data Science Fellowship Program (2025-2027).

                                      

Education

 2011-2017  Colegio Pureza de María Santa Cruz 

ESO (GCSE) and Bachillerato (GCE)                     

  •  Modality of natural sciences. 
  • General Certificate Education (GCE) mark: 9.7/10. 
  • University Entrance Examination (EBAU) mark: 13.3/14.                                                                                                

Sep.2017-Jul.2021 University of La Laguna (ULL) 

Bachelor's Degree in Physics                        

  • Internship (420 hours): Conducted at the Instituto de Astrofísica de Canarias (IAC). The internship involved applying Supervised, Unsupervised, and Self-Supervised Machine Learning to classify galaxy images from the EuclidZoo project based on their morphology.
  • Final Degree Project: Developed at the Instituto de Astrofísica de Canarias (IAC) under the title S earching for Compaction in TNG50 Cosmological Simulation Using Deep Learning. The project involved using Supervised Machine Learning (a Convolutional Neural Network, CNN) to identify an evolutionary phase called "Blue Nuggets" in galaxies from the TNG50 cosmological simulation. Final Mark: 10/10.

Sep.2021-Jul.2023 University of La Laguna (ULL)

Master's Degree in Astrophysics and Cosmology.                               

  •  Theoretical and computational specialisation. 
  • Master’s thesis: Deriving Star Formation Histories of Galaxies with Bayesian Deep Learning. We explored a novel approach based on probabilistic machine learning and likelihood-free inference to estimate the star formation histories of galaxies from their optical absorption spectra. Final mark: 10/10.                               

Nov.2023-Today University of La Laguna (ULL) 

PhD in Astrophysics                                                                                                            

Outreach

Skills

Other activities  

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