Gwenaël Leday
Arnhem, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolGwenaël Leday is a statistical modeler with a PhD and over a decade of experience building and deploying machine learning and statistical solutions for large, complex datasets. He specializes in high-dimensional data analysis, focusing on the computational-statistical trade-offs that ensure models are accurate, scalable, and interpretable in real-world settings. His career spans academic and applied roles at institutions such as Wageningen University & Research and the MRC Biostatistics Unit, where he combined methodological innovation with reproducible implementation. Gwenaël maintains active software development on GitHub and publishes research that bridges theory and practice, reflecting his commitment to transparency and collaboration. Based in Arnhem, he brings a pragmatic, curious approach to problems—preferring solutions that deliver measurable impact rather than theoretical elegance alone.
10 years of coding experience
12 years of employment as a software developer
Master’s Degree, Statistics, Master’s Degree, Statistics at University of South BrittanyDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at VU University Amsterdam
French, English, Spanish, Dutch
Github Skills (4)
statistics6
graphical-models6
network-analysis5
bayesian-inference5
Programming languages (2)
Github contributions (5)
gleday/beam
Nov 2018 - Dec 2020
Fast Bayesian Inference in Large Graphical Models
Contributions:2 releases, 54 pushes, 6 branches in 2 years 1 month
bayesian-inferencecovariance-estimationempirical-bayesgraphical-modelshigh-dimensional-data
gleday/ShrinkNet
Oct 2015 - Apr 2018
Contributions:108 commits, 110 pushes, 1 branch in 2 years 6 months
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