Yvann Le Fay

PHD Candidate In Applied Mathematics

Paris, Ile-de-France
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Summary

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Senior
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Yvann Le Fay is a PhD candidate in Applied Mathematics based in Paris with a decade of experience applying advanced statistical and Monte Carlo methods across academia and industry. He works on sampling, variational inference and Bayesian-flavored techniques under supervisors like Nicolas Chopin and Matti Vihola, and has published in Bayesian Analysis while contributing research at CREST, Aalto and Inria. Comfortable teaching and translating complex theory into practical code, he also built efficient statistical routines for quantitative teams such as Lombard Odier. Known for a methodical yet creative approach, he thrives in fast-paced collaborative environments and bridges rigorous mathematical thinking with hands-on implementation.
code10 years of coding experience
job1 year of employment as a software developer
bookMPI, Mathematics, physics, computer science, MPI, Mathematics, physics, computer science at Lycée Henri IV
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Université Paris-Saclay
bookMaster of Science - MS, MVA, Statistics and Machine Learning, Master of Science - MS, MVA, Statistics and Machine Learning at École normale supérieure Paris-Saclay
bookMaster of Engineering - MEng, Applied Mathematics, Master of Engineering - MEng, Applied Mathematics at ENSAE Paris
bookDoctor of Philosophy - PhD, Applied Mathematics & Statistics, Doctor of Philosophy - PhD, Applied Mathematics & Statistics at Institut Polytechnique de Paris
languagesEnglish, French
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Github Skills (28)

mcmc7
bayesian7
bayesian-inference7
python6
variational-inference6
probabilistic-programming6
linear-models5
graph3
econometrics2
machine-learning2
convex-optimization2
databases2
ontologies2
markov-chain2
algorithm2

Programming languages (3)

JavaJupyter NotebookPython

Github contributions (5)

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Contributions:20 pushes, 3 branches, 1 comment in 3 years 6 months
Contributions:77 commits, 70 pushes, 1 branch in 2 years 10 months
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