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  • Berlin, Germany

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@SpeedyWeather @TUM-PIK-ESM

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Hi there 👋

I'm Max, a scientist passioniate about exploring machine learning for nonlinear dynamics and Earth System Sciences.
Currently, I am mainly working on making Earth system models differentiable and GPU-compatible to enable seamless integration with ML.

Checkout my two main projects at the moment:

  • ☁️ SpeedyWeather.jl: A global, spectral atmospheric model with an everything flexible attitude
  • 🌱 Terrarium.jl: Modelling land and ecosystems across temporal and spatial scales

If you want to learn something about ML for dynamical systems, checkout my lecture notes:

Pinned Loading

  1. JuliaDynamics/TreeEmbedding.jl JuliaDynamics/TreeEmbedding.jl Public

    This project implements the MCDTS algorithm outlined in the paper Nonlinear Dynamics volume 108, pages 1525–1545 (2022).

    Julia 1 1

  2. TUM-PIK-ESM/TUM-Dynamics-Lecture TUM-PIK-ESM/TUM-Dynamics-Lecture Public

    Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich

    Jupyter Notebook 13 1

  3. SpeedyWeather/SpeedyWeather.jl SpeedyWeather/SpeedyWeather.jl Public

    Play atmospheric modelling like it's LEGO.

    Julia 517 47

  4. QG3.jl QG3.jl Public

    Marshall Molteni QG3 Quasigeostrophic Atmospheric Model in Julia, GPU and AD enabled

    Julia 4

  5. NeuralDELux.jl NeuralDELux.jl Public

    Tools and Solvers for Neural DEs with Lux.jl

    Julia 1 3

  6. TUM-PIK-ESM/Terrarium.jl TUM-PIK-ESM/Terrarium.jl Public

    A next-generation differentiable and GPU-accelerated land model in the Julia programming language.

    Julia 9