Pierre Stock
VP Of Science Operations
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolPierre Stock is a VP of Science Operations and seasoned research scientist with a decade of experience building and scaling AI research teams and scientific roadmaps, currently based in Paris. He combines deep technical expertise in neural network compression, privacy-preserving ML and AI safety with hands-on contributions across the full data-to-inference stack from his time as one of Mistral AI’s first employees and at Meta AI. Pierre’s background blends rigorous academic training (ENS Paris-Saclay, CentraleSupélec, ESSEC) and industry research—his CIFRE PhD work at Facebook focused on large-scale learning for deep networks. He also contributes to open educational tooling in numerical signal processing, adding practical wavelet and lifting-transform implementations to the well-known Numerical Tours repository. Known for recruiting and people management as much as for shipping research code, he’s comfortable translating complex ML research into production-ready systems and team strategies.
10 years of coding experience
5 years of employment as a software developer
Master of Science in Management, Grande École Program, Finance, Strategy, Marketing, Master of Science in Management, Grande École Program, Finance, Strategy, Marketing at ESSEC Business SchoolMaster of Engineering, Ecole Centrale Paris, Applied Mathematics, Computer Science, Master of Engineering, Ecole Centrale Paris, Applied Mathematics, Computer Science at CentraleSupelecClasse préparatoire aux Grandes Ecoles, Filière MPSI-MP*, Classe préparatoire aux Grandes Ecoles, Filière MPSI-MP* at Lycée Louis-le-GrandMaster of Science, Machine Learning, Computer Vision, Master of Science, Machine Learning, Computer Vision at École Normale Supérieure Paris-Saclay
French, English, German
Github Skills (4)
image-processing10
numerical-methods10
signal-processing10
python10
Programming languages (3)
Github contributions (5)
gpeyre/numerical-tours
Jul 2016 - Aug 2016
Numerical Tours of Signal Processing
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:148 commits, 148 pushes in 1 month
Contributions summary:Pierre added and modified several Python files, including a notebook file demonstrating a numerical tour related to image approximation, a Python script for computing wavelet filters, and a file implementing a fast lifting transform. These commits indicate the user's involvement in numerical signal processing, specifically wavelet analysis and image processing techniques, likely contributing to the development and maintenance of the "Numerical Tours of Signal Processing" repository. The file additions suggest that the user is involved in expanding the educational content of the repository.
signalbrain-computer-interfacemachine-learningtourssignal-processing
pierrestock/document-distances
Nov 2016 - Jan 2017
Contributions:1 release, 44 commits, 34 pushes in 1 month
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