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theodore-michel/README.md
Hi, I'm Théodore ☀️⛰️ (a pixel-art cyclist riding over the title)

Postdoctoral Researcher · Physics of Fluids, University of Twente
Fluid dynamics × machine learning × high-performance computing

Website Google Scholar LinkedIn ORCID Email

🔬 Currently working on

  • 4D-Flow: reconstructing vascular flow from contrast-enhanced ultrasound imaging with deep learning
  • Graph-DRL: graph neural networks + deep reinforcement learning for flow surrogates and control
  • ONECYL: a benchmark for graph-based surrogate models of unsteady flows

🌱 Learning about

  • Ultrasound and medical imaging techniques for patient-specific treatments
  • JAX for fully differentiable pipelines

🛠️ Toolbox

Python PyTorch C++ CUDA MATLAB MPI Linux

Pinned Loading

  1. DonsetPG/graph-physics DonsetPG/graph-physics Public

    This repo lets you train GNN (MeshGraphNet, transformers, etc) to simulate physics on unstructured grids like meshes.

    Python 53 17

  2. meshio meshio Public

    Forked from nschloe/meshio

    🕸️ input/output for many mesh formats

    Python

  3. jviquerat/pbo jviquerat/pbo Public

    Paper repository: "Policy-based optimization: single-step policy gradient seen as an evolution strategy"

    Python 27 6