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Olivier Labayle

olivierlabayle
Edinburgh

Hi,

I am a scientific software engineer and a PhD student at the University of Edinburgh. I am passionate about making novel statistical and machine learning methods accessible to the scientific community with a special interest for biomedical applications.

I am both a leader and a contributor to various open source projects, in particular within the boundaries of the Julia language ecosystem:

  • TarGene : I am the creator and lead developper of the TarGene software. TarGene is a Nextflow pipeline enabling the estimation of causal effects in population genetics using Targeted Learning (#GWAS, #PheWAS).
  • MLJ: I am dedicated to both improving core components of the main machine-learning framework in Julia and contributing new models.
  • TMLE.jl: I created TMLE.jl to provide scalable double robust non-parametric estimation of causal estimands to a broad audience.

You can learn more about my current work here.

Thank you for your support!

Featured work

  1. JuliaAI/MLJBase.jl

    Core functionality for the MLJ machine learning framework

    Julia 161
  2. JuliaAI/MLJLinearModels.jl

    Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

    Julia 81
  3. JuliaAI/MLJModels.jl

    Home of the MLJ model registry and tools for model queries and mode code loading

    Julia 81
  4. TARGENE/TMLE.jl

    A pure Julia implementation of the Targeted Minimum Loss-based Estimation

    Julia 16
  5. TARGENE/targene-pipeline

    Nextflow pipeline for Targeted-Learning of genetic effects

    Nextflow 11
  6. Julia 2

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