Yazid Janati
Research Scientist at École Polytechnique
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolYazid Janati is a research scientist based in Paris with eight years of experience at the intersection of statistics and generative modeling, currently contributing to foundation-model research and teaching generative modeling at École Polytechnique. He holds a PhD in Statistics from Institut Polytechnique de Paris and has a track record in denoising diffusion models, Bayesian inference for Markovian systems, and applied ML projects such as changepoint detection and Shapley-based explanations during an internship at SAP. His work blends rigorous probabilistic foundations with practical model development, and he moves frequently between research, teaching, and applied engineering roles. Notably, he has progressed from graduate teaching assistant roles to postdoctoral research and now a research scientist role in the fast-evolving foundation-models space, reflecting both deep domain expertise and an ability to translate theory into implementation.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Institut Polytechnique de ParisTélécom SudParis
Github Skills (20)
python10
machine-learning10
deep-learning10
gpu10
numpy9
neural-network9
tensor9
gpu-acceleration9
autograd8
bayesian7
generative-model5
diffusion-models4
scala2
sampling2
pytorch2
Programming languages (4)
Github contributions (5)
YazidJanati/yazidjanati.github.io
Sep 2022 - Jan 2023
Contributions:49 commits, 25 pushes, 1 branch in 3 months
YazidJanati/bayestuner
Nov 2019 - Dec 2021
A Bayesian Optimization Library
Contributions:4 commits, 2 PRs, 21 pushes in 2 years 1 month
bayesian
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