Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS
Sinigaglia, F., Iglesias-Navarro, P., Viel, M. (2026). arXiv:2603.13011.
CV
Download my full CV as PDF: CV Patricia Iglesias Navarro
Education
PhD in Astrophysics, University of La Laguna (ULL), Nov. 2023 – Present
Supervisors: Prof. Marc Huertas-Company & Prof. Johan KnapenMaster’s Degree in Astrophysics and Cosmology, University of La Laguna (ULL), 2021–2023
Supervisors: Prof. Marc Huertas-Company & Prof. Ignacio Martín-Navarro
Thesis: Deriving Star Formation Histories of Galaxies with Bayesian Deep Learning (10/10)Bachelor’s Degree in Physics, University of La Laguna (ULL), 2017–2021
Supervisor: Prof. Marc Huertas-Company
Final project: Searching for Compaction in TNG50 Using Deep Learning (10/10)
Research Experience
- Predoctoral Researcher (FPI), Instituto de Astrofísica de Canarias, Nov. 2023 – Present
- Research Visit, Kavli Institute for Cosmology, Cambridge (host: Dr. Sandro Tacchella), Apr.–Jun. 2026
- Research Visit, SkAI Institute & CIERA, Northwestern University (hosts: Dr. Starkenburg & Dr. Ciprijanovic), Sep.–Oct. 2025
- Early-career Research Fellowship, ULL & IAC, Nov. 2021 – Jul. 2022
Fellowships
- LSST Discovery Alliance Data Science Fellowship Program (2025–2027)
- Grants for Predoctoral Contracts for Doctoral Training (FPI), Spanish State Research Agency (2022)
Publications
A Pixel-by-Pixel Path to Population III Discovery with JWST
Iglesias-Navarro, P., Harvey, T., Huertas-Company, M., Lovell, C. C., Knapen, J. H., et al. (2026). arXiv:2606.30750.
Semiresolved Stellar Populations as Distance Indicators
Martín-Navarro, I., Iglesias-Navarro, P., La Barbera, F., Vazdekis, A., et al. (2026). ApJL, 1006, L58.
JADES Data Release 5: stellar population catalogue for galaxies in GOODS-N and GOODS-S
Duan, Q., Tacchella, S., Johnson, B. D., et al. (incl. P. Iglesias-Navarro) (2026). arXiv:2605.21599.
Flexible simulation-based inference for galaxy photometric fitting with synthesizer
Harvey, T., Lovell, C. C., Newman, S., Conselice, C. J., et al. (incl. P. Iglesias-Navarro) (2026). MNRAS, 547.
FASTAR: II. Semi-resolved evolutionary stellar population models
Martín-Navarro, I., Vazdekis, A., Peralta de Arriba, L., Alonso Asensio, I., Iglesias-Navarro, P., et al. (2026). A&A, 711, A283.
FASTAR: I. Continuous and differentiable evolutionary stellar population models
Martín-Navarro, I., Vazdekis, A., Peralta de Arriba, L., Alonso Asensio, I., Angeloudi, E., Iglesias-Navarro, P., et al. (2026). A&A, 711, A282.
Euclid preparation: LXXXI. Nonparametric SFHs on spatially resolved galaxy property estimation
Euclid Collaboration, Nersesian, A., et al. (incl. P. Iglesias-Navarro) (2026). A&A, 707, A231.
Euclid Q1: XIII. Exploring galaxy properties with a multi-modal foundation model
Euclid Collaboration, Siudek, M., Huertas-Company, M., et al. (incl. P. Iglesias-Navarro) (2026). A&A, 711, A13.
Euclid Q1: XI. A first look at the fraction of bars in massive galaxies at z<1
Euclid Collaboration, Huertas-Company, M., Walmsley, M., Siudek, M., Iglesias-Navarro, P., et al. (2026). A&A, 711, A11.
Euclid preparation: LXVIII. Extracting physical parameters from galaxies with machine learning
Euclid Collaboration, Kovačić, I., Baes, M., et al. (incl. P. Iglesias-Navarro) (2025). A&A, 695, A284.
ZF-UDS-7329: A relic galaxy in the early Universe
Hartmann, E. A., Martín-Navarro, I., Huertas-Company, M., Benedetti, J. P. V., Iglesias-Navarro, P., et al. (2025). A&A, 694, L7.
Simulation-based inference of galaxy properties from JWST pixels
Iglesias-Navarro, P., Huertas-Company, M., Pérez-González, P., Knapen, J. H., et al. (2025). A&A, 703, A229.
Deriving the star formation histories of galaxies from spectra with simulation-based inference
Iglesias-Navarro, P., Huertas-Company, M., Martín-Navarro, I., Knapen, J. H., Pernet, E. (2024). A&A, 689, A58.
The building up of observed stellar scaling relations of massive galaxies and the connection to black hole growth in the TNG50 simulation
Varma, S., Huertas-Company, M., Pillepich, A., et al. (incl. P. Iglesias-Navarro) (2022). MNRAS, 509, 2654.
Talks and Posters
EAS Annual Meeting 2026
Contributed talks (SS38b, S9e) & Invited talk (LS3a) at EAS Annual Meeting 2026, Lausanne, Switzerland
Simulation-based Inference for Galaxy Evolution 2026
Contributed talk at Simulation-based Inference for Galaxy Evolution 2026, Cambridge, UK
BeyondHubble: Revisiting the Hubble Sequence
Contributed talk at BeyondHubble: Revisiting the Hubble Sequence, Cambridge, UK
Open SkAI
Contributed talk at Open SkAI, Chicago, US
Simulation-based Inference for Galaxy Evolution 2025
Invited talk at Simulation-based Inference for Galaxy Evolution 2025, Bristol, UK
CRISOL25: Galaxy Origin in the JWST Era
Poster contribution at CRISOL25, Toledo, Spain
EDUCADO Annual Meeting
Contributed talk at EDUCADO Annual Meeting, La Palma, Spain
Cosmology and Galaxy Astrophysics with Simulations and ML
Contributed talk at Cosmology and Galaxy Astrophysics with Simulations and ML 2024, New York, US
LSST@Europe6
Contributed talk at LSST@Europe6, La Palma, Spain
IAU General Assembly 2024
Poster contribution at IAU General Assembly 2024, Cape Town, South Africa
EAS Annual Meeting 2024
Contributed talk at EAS Annual Meeting 2024, Padova, Italy
JWST/CEERS Team Meeting 2024
Contributed talk at JWST/CEERS Team Meeting 2024, Madrid, Spain
Simulation-based Inference for Galaxy Evolution
Contributed talk at Simulation-based Inference for Galaxy Evolution, Bristol, UK
Galaxies & AGN with the first Euclid Data and Beyond
Contributed talk at Galaxies & AGN with the first Euclid Data and Beyond, Bologna, Italy
A Life Devoted to Stellar Populations
Poster contribution at A Life Devoted to Stellar Populations, Puerto de La Cruz, Spain
Computing Skills
- Programming: Python (advanced), LaTeX (advanced), Bash (intermediate), Fortran (intermediate), R (basic), IDL (basic)
- Machine Learning & Inference: TensorFlow, Keras, PyTorch, SBI, ilu-ltu
- Astronomical Tools: Astropy, TOPCAT, DS9
- Operating Systems: Linux, macOS
Languages
| Spanish (Native) | English (Advanced, C1) | Italian (Basic, B1) | French (Basic, A2) |