Olivier Teytaud
Research Scientist at Meta
Paris, Ile-de-France
Summary
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Top SchoolOlivier Teytaud is a research scientist with over two decades of experience in machine learning and optimization, currently contributing at Meta and Google from Paris. He holds a PhD from École normale supérieure de Lyon and has a long research and mentoring track record at INRIA, where he supervised many PhD students and postdocs. Olivier blends theory and practice, implementing core algorithms like Bayesian optimization in high-profile open-source projects such as Facebook Research’s nevergrad and applying them to domains like power systems and simulation (Rocket). His work spans Monte Carlo Tree Search, deep networks, and gradient-free optimization, often focusing on real-world applications in power systems. Known for moving algorithmic ideas into production-ready code, he combines academic rigor with pragmatic engineering.
7 years of coding experience
PH.D., Machine Learning, PH.D., Machine Learning at École normale supérieure de Lyon
Stackoverflow
1reputation
0reached
0answers
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Github Skills (9)
algorithm10
machine-learning10
bayesian10
python10
optimizers10
optimisation10
optimization10
mathematical8
modeling8
Programming languages (4)
Github contributions (5)
facebookresearch/nevergrad
Dec 2018 - Jan 2023
A Python toolbox for performing gradient-free optimization
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:18 releases, 450 reviews, 1819 commits in 4 years 1 month
Contributions summary:Olivier implemented Bayesian Optimization (BO) and added methods for improving model training and performance. They integrated new algorithms into the existing codebase, including a new class for BO-based optimization, and extended the functionality of existing optimization methods. The changes involve modifications to several files including the introduction of new models and metrics, indicating work in core algorithmic development and potentially model selection or performance tuning. The user contributed new discrete and Gaussian Mixture surfaces and also worked on applying the modified code to the Rocket simulator
pythontoolboxgradient-free-optimizationoptimizationpython-toolbox
teytaud/nevergrad
May 2020 - Nov 2020
A Python toolbox for performing gradient-free optimization
Contributions:191 commits, 2 PRs, 3 pushes in 6 months
pythontoolboxgradient-free-optimizationoptimizationpython-toolbox
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