Presentations

• 2026
  • [Poster] Beyond Harvey-like models: studying the shared residual structure of the stellar background. TASC10/KASC17, Aarhus University. [Hybrid].
  • [Talk] Beyond Harvey-like models: studying the shared residual structure of the stellar background. INnovative techniques for the study of Magnetic Activity in intermediate mass stars (INMA) - kick-off online meeting. Instituto de Astrofísica de Andalucía (IAA-CSIC). [Online].
  • [Seminar] Inferencia Bayesiana y Aprendizaje Automático en el análisis de datos astrofísicos, master of astrophysics, Valencia International University (VIU). [Online].
  • [Seminar] Deep learning for small astrophysical datasets: from cosmology to exoplanet detection. Institutional seminar, Instituto de Astrofísica de Andalucía (IAA-CSIC), Granada, Spain. [On-site].
• 2025
  • [Conference] Deep learning for small astrophysical datasets: applications in cosmology and exoplanets. ICGCAS-2025, PICS, Odisha, India. [Online].
  • [Conference] Deep Learning strategies for detecting Earth-size exoplanets in HARPS-N stellar spectra., EPSC-DPS 2025, Helsinki, Finland. [On-site].
  • [Poster] SpeckleNet: a large-scale PSF subtraction deep learning model for exoplanetdetection and characterization in high contrast imaging, EPSC-DPS 2025, Helsinki, Finland. [On-site].
  • [Conference] Reaching the 10 cm/s planetary detection limit on HARPS-N solar data using deep learning.. The Sixth Workshop on Extremely Precise Radial Velocities (EPRV 6). Porto, Portugal. [On-site].
  • [Seminar] Machine learning for small astrophysical datasets: applications in cosmology and exoplanets. Pizza seminar, Instituto de Ciencias del Espacio (ICE-CSIC), Barcelona, Spain. [On-site].
  • [Seminar] Técnicas estadísticas y de aprendizaje automático en el análisis de datos astrofísicos, master of astrophysics, Valencia International University (VIU). [Online].
• 2024
  • [Flash talk/poster] Deep Learning strategies to planet detection using HARPS-N stellar spectra, Junior Research Assembly (JURA) V. PlanetS, Murten, Switzerland. [On-site].
  • [Seminar] Aprendizaje automático en la inferencia estadística de datos cosmológicos, Seminario de Cosmología y Astrofísica Relativista. Physics department, CINVESTAV. [Online].
  • [Talk] Aceleración de la Inferencia Bayesiana mediante Redes Neuronales y Algoritmos Genéticos, III Mini Workshop on HPC in Science and Engineering, ICF-UNAM, Cuernavaca, Morelos, México. [Online].
  • [Seminar] Machine Learning for Astrophysical Data Analysis and Stellar Spectra Modeling, Exoplanet Group Seminar. University of Geneva, Geneva, Switzerland. [On-site]
• 2023
  • [Seminar] Aprendizaje automático en el análisis de datos cosmológicos, Seminario del grupo de gravitación y cosmología del Instituto de Ciencias Físicas, ICF-UNAM, Cuernavaca, Morelos. [On-site]
  • [Poster] Neural networks in cosmological data analysis, Addressing observational tensions in cosmology with systematics and fundamental physics (CosmoVerse). Faculdade de Ciências da Universidade de Lisboa. Lisboa, Portugal. [On-site].
• 2022
  • [Poster] Neural nets in cosmological analysis, VIII Essential Cosmology for the Next Generation, Playa del Carmen, Quintana Roo. [On-site].
  • [Conference] Análisis de datos cosmológicos con redes neuronales, Mini Workshop on High Performance Computing in Science and Engineering, Universidad Autónoma de Hidalgo, Pachuca, Hidalgo. [On-site].
  • [Poster] Dark matter halo analysis on N-body cosmological simulations with deep learning, LXV Congreso Nacional de Física, Universidad de Zacatecas, México. [On-site].
  • [Poster] Neural networks in cosmological data analysis, 25th annual International Conference on Particle Physics and Cosmology (COSMO’22), Rio de Janeiro Planetarium, Brazil. [On-site].
• 2021
  • [Talk] SimpleMC y redes neuronales para modelos de energía oscura, COSMO Meeting III, ICF-UNAM, Cuernavaca, Morelos. [On-site].
  • [Seminar] Inferencia Bayesiana y redes neuronales para modelos de energía oscura, Seminario de Teorías de Gravedad y Señales Observacionales, Universidad de Guanajuato. [Online].
  • [Seminar] Redes Neuronales: aplicaciones estadísticas en Cosmología Observacional, Seminario del grupo de gravitación y cosmología del Instituto de Ciencias Físicas, ICF-UNAM, Cuernavaca, Morelos. [Online].
• 2020
  • [Poster] Neural network training within a Bayesian inference framework, X International Congress of Physics Engineering, UAM-Azcapotzalco, CDMX. [Online].
  • [Poster] The inverse problem of a dynamical system solved with genetic algorithms, X International Congress of Physics Engineering, UAM-Azcapotzalco, CDMX. [Online].
  • [Poster] Data Mining applied to interventional cardiology procedures, X International Congress of Physics Engineering, UAM-Azcapotzalco, CDMX. [Online].
  • [Seminar] Muestreo anidado, redes neuronales y SimpleMC, Seminario del grupo de gravitación y cosmología del Instituto de Ciencias Físicas, ICF-UNAM, Cuernavaca, Morelos.
  • [Talk] Métodos estadísticos con redes neuronales en cosmología observacional, V Encuentro de Modelado Matemático en Física y Geometría, BUAP, MCTP.
  • [Seminar] Redes Neuronales aplicadas a métodos estadísticos de la Cosmología Observacional, Seminario de estudiantes de cosmología, Cuernavaca, Morelos.
• 2019
  • [Poster] Artificial Neural Networks as optimizers in Bayesian inference, I Taller conjunto de Deep Learning y Ciencia de Datos, CIMAT, Guanajuato, México.