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🎓 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.
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🔭 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
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🌱 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
