Skip to content
View JordiBolibar's full-sized avatar
🏔️
🏔️
89 followers · 101 following

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
BetaSend feedback

Organizations

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

Block or report JordiBolibar

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JordiBolibar/README.md

Hi there, I'm Jordi Bolibar 👋

I am a postdoc researcher at the IGE - Université Grenoble Alpes (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 industry.

  • 🔭 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.
    • 🧊 IceStupas: Artificial glacier modelling (i.e. Ice Stupas), investigating low-cost solutions for farmers and local populations facing climate change-induced droughts.
    • 🇦🇶 Antarctic Ice Shelves: Modelling calving of Antarctic ice shelves using deep learning and remote sensing data.
  • 🌱 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@univ-grenoble-alpes.fr or jordi.bolibar@gmail.com.

Pinned

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

    Global glacier model using Universal Differential Equations for climate-glacier interactions

    Julia 60 8

  2. ALPGM ALPGM Public

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

    Python 39 9

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

    Fast and flexible glacier ice flow models

    Julia 2 3

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

    Scientific machine learning glacier mass balance models

    Julia 4 2

  5. ODINN-SciML/Sleipnir.jl ODINN-SciML/Sleipnir.jl Public

    Core structures and tools for ODINN.jl

    Julia 2 3

  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 17 22