Become a sponsor to Olivier Labayle
Hi there! 👋
I’m a postdoctoral researcher at the University of Edinburgh, passionate about making statistical and machine learning methods more accessible to the scientific community, with a particular focus on biomedical applications.
I actively contribute to and lead various open-source projects, especially within the Julia language ecosystem:
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🚀 [TarGene](https://github.com/TARGENE) – Creator
TarGene is a Nextflow pipeline designed for causal effect estimation in population genetics using Targeted Learning (#GWAS, #PheWAS). -
🤖 [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) – Contributor
I work on enhancing core components of Julia’s main machine learning framework while also contributing new models. -
🎯 [TMLE.jl](https://targene.github.io/TMLE.jl/stable/) – Creator & Lead Developer
TMLE.jl enables scalable, double-robust, non-parametric estimation of causal effects, making cutting-edge causal inference methods more widely accessible.
If you find my work useful, consider supporting me—every contribution helps drive further development! 🚀
Thank you for your support! ❤️
This version improves readability, adds engagement, and makes your contributions stand out. Let me know if you’d like further refinements! 😊
Featured work
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JuliaAI/MLJBase.jl
Core functionality for the MLJ machine learning framework
Julia 161 -
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Julia 81 -
JuliaAI/MLJModels.jl
Home of the MLJ model registry and tools for model queries and mode code loading
Julia 82 -
TARGENE/TMLE.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
Julia 17 -
TARGENE/targene-pipeline
Nextflow pipeline for Targeted-Learning of genetic effects
Nextflow 11 -
Julia 2