• 🎓 I'm a postdoctoral researcher in Machine learning applied to climate extremes using Bayesian modeling and sensitivity analysis at the CSIC-UCM-IGEO research group.

• 🔭 I’m currently working on my:

  • Personal Research Notebook
  • Bayesian Modeling for Extremes - jbayesevt
  • OceanBench: Sea Surface Height Edition
  • Simple Ocean Models with JAX - somaX (Quasi-Geostrophic, Shallow Water, Navier-Stokes, etc)
  • Finite Volume methods with Jax - FiniteVolX
  • Spectral Differences with Jax - spectraldiffX
  • Neural Fields applied to Interpolation of Earth Observation Variables - knerf | functa4eo | ml4ssh

• 🌱 I’m currently learning JAX and (ofc) always more Python.

📔 My Active Research

• Interpolation of Earth Observation Variables
• Uncertainty Quantification
• Sensitivity Analysis
• Machine Learning for Dynamical Systems
• Data-Driven Pipelines for Remote Sensing Data
• Applied Machine Learning (Climate, Earth science, Oceanography)

📔 My Current Interests

Note: These links are great resources, not necessarilty my personal work.

• Neural Fields
• Gaussian Processes
• Generative Models - Flows | VAEs | Diffusion Models
• State Space Models - Dynamax | Markovian GPs