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πŸ‘¨β€πŸ’»
Coding…
πŸ‘¨β€πŸ’»
Coding…

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@IPL-UV @spaceml-org

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jejjohnson/README.md

Hello, I'm J. Emmanuel Johnson πŸ‘‹!

  • πŸŽ“ 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.

  • πŸ”­ I’m currently working on my:

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

πŸ“” 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)

πŸ“” My Current Interests

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

bash docker gcp git linux python pytorch scikit_learn tensorflow

jejjohnson jejjohnson

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  1. gp_model_zoo gp_model_zoo Public

    Literature and light wrappers for gaussian process models.

    Jupyter Notebook 44 2

  2. oceanbench oceanbench Public

    OceanBench - SSH edition

    Jupyter Notebook 15 2

  3. IPL-UV/rbig_jax IPL-UV/rbig_jax Public

    Iterative and Parametric Gaussianization with JAX.

    Jupyter Notebook 6 1

  4. uncertain_gps uncertain_gps Public

    Exploring how to to deal with uncertain inputs with gaussian process regression models.

    Jupyter Notebook 26 2

  5. research_notebook research_notebook Public

    My personal research notebook with notes, tutorials, and resources written in Jupyterbook.

    Jupyter Notebook 20 2

  6. jejeqx jejeqx Public

    My models that I look at to test out JAX.

    Jupyter Notebook 1