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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Organizations

@OGGM @ODINN-SciML @Machine-Learning-in-Glaciology-Workshop @CryoInTheCloud @ige-calcul

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JordiBolibar/README.md

Hi there, I'm Jordi Bolibar 👋

I am a Research Scientist working at CNRS, IGE (France). Previously I worked as a postdoc reseacher at TU Delft and Utrecht University (Netherlands). I did my PhD at IGE, and before that I worked 4 years as a Software Engineer in the private sector.

  • 🔭 I’m currently working on:
    • 🌎 ODINN.jl: Global glacier model using Universal Differential Equations for climate-glacier interactions. Integrating the Julia differential programming tools with the Open Global Glacier Model (OGGM) in Python.
    • ❄️ Huginn.jl: Fast and flexible glacier ice flow models in Julia.
    • 🔥 Muninn.jl: Machine learning-based glacier surface mass balance modelling for ODINN.jl.
    • 🏔️ MassBalanceMachine: Machine learning glacier surface mass balance modelling to assimilate all data sources.
    • 🧲 SphereUDE.jl: Universal Differential Equations for regression on the sphere, used to reconstruct past tectonic plate motion.
  • 🌱 I’m currently exploring new ways to mix differential equations and machine learning (i.e. Universal Differential Equations) for geoscientific models.
  • 👯 I’m looking to collaborate with people interested in Scientific/Physics-informed machine learning, or glacio-hydrological modelling.
  • 📫 How to reach me: shoot me an email at jordi.bolibar (at) univ-grenoble-alpes.fr.

Overview of the main packages I'm developing in the ODINN SciML ecosystem:

Pinned Loading

  1. ODINN-SciML/ODINN.jl ODINN-SciML/ODINN.jl Public

    SciML glacier model

    Julia 85 13

  2. ODINN-SciML/MassBalanceMachine ODINN-SciML/MassBalanceMachine Public

    Global machine learning glacier mass balance model, capable of assimilating all sources of glaciological and remote sensing data

    Jupyter Notebook 36 21

  3. ODINN-SciML/Huginn.jl ODINN-SciML/Huginn.jl Public

    Fast and flexible glacier ice flow models

    Julia 3 5

  4. ODINN-SciML/Muninn.jl ODINN-SciML/Muninn.jl Public

    Scientific machine learning glacier mass balance models

    Julia 5 4

  5. ALPGM ALPGM Public

    ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

    Python 43 10

  6. Machine-Learning-in-Glaciology-Workshop/Project_MB_Regression Machine-Learning-in-Glaciology-Workshop/Project_MB_Regression Public

    Tutorial to learn how to train different machine learning methods to model glacier mass balance.

    Jupyter Notebook 22 41