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Mathias Louboutin

mloubout
Atlanta, GA, USA

Original developer of Devito since 2016, graduated with a PhD from Georgia Insitute of Technology in 2020

  • PDE constrained optimisation
  • HPC for large scale inverse problems (FWI, RTM)
  • Finite-difference computing and DLS
  • Machine learning
  • Physical modelling
  • Medical imaging
  • Computational machine learning

2 sponsors have funded mloubout’s work.

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Have impactful opensource contributions for the scientific community.

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Featured work

  1. devitocodes/devito

    DSL and compiler framework for automated finite-differences and stencil computation

    Python 570
  2. slimgroup/JUDI.jl

    Julia Devito inversion.

    Julia 103
  3. slimgroup/InvertibleNetworks.jl

    A Julia framework for invertible neural networks

    Julia 160
  4. slimgroup/TimeProbeSeismic.jl

    Memory efficient seismic inversion via trace estimation

    Julia 9
  5. slimgroup/dfno

    Distributed Fourier Neural Operators

    Python 29
  6. slimgroup/PhotoAcoustic.jl

    Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.

    Julia 7

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