Pierre Lague
PhD Student — Machine Learning & Statistics — Rennes, France
I work on artificial intelligence, machine learning and mathematics applied to concrete problems — currently as a PhD student at Inria, on the mechanical durability of systems subjected to severe vibratory loads.
Before the PhD: reinforcement learning and multi-agent systems, semantic segmentation of drone imagery, LiDAR classification, time-series forecasting for cloud capacity. Lately, extreme value statistics.
Affiliations
Present & past
The PhD is funded by the AID and run as a consortium between the DGA, the University of Angers and the University of Rennes. Marks are shown to identify affiliations and belong to their respective owners.
Map of topics across the work
- Methods
- Domains
- Tools
Selected work
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Cours - Du Machine Learning aux réseaux convolutifs
A ten-hour machine learning course for third-year bachelor students: from the supervised learning pipeline through to CNNs, U-Net and variational auto-encoders.
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A Moment to Talk About AI
Why frontier AI labs need binding rules, and why the generation that understands these systems must help write them — a follow-up to the WAIRO proposal, written against the events of September 2026.
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PhD Review - Time–Frequency Analysis Methods for Feature Engineering
A review of time–frequency methods for feature engineering on non-stationary vibration signals.
Inria -
PhD Review - Time Domain Methods for Fatigue and Damage Estimation
A review of time-domain fatigue estimation, from cycle counting to cumulative damage models.
Inria -
PhD Review - Frequency Domain Methods for Fatigue and Damage Estimation
A review of frequency-domain methods for fatigue and damage estimation, and the assumptions each one makes.
Inria -
Apprenticeship Thesis - Leveraging Machine Learning for Dynamic and Intelligent Cloud Commitment Recommendations
Apprenticeship thesis: machine learning for dynamic and intelligent cloud commitment recommendations, at Sudo Group.
Sudo Group
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WAIRO - A Global AI Regulation Framework
A proposal for a World Artificial Intelligence Regulation Office: an independent, binding global authority for AI oversight, with a departmental structure, a funding model and a phased path to adoption.
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Presentation - Work and Project Overview
The work and project overview presented for the Inria PhD application.
Université de Lille -
Natural Language Processing - Transformers Workshop 1
Transformers workshop: attention from first principles, then fine-tuning in practice.
Université de Lille -
Multi-Agent Systems
Multi-agent systems: emergence, coordination and what happens when agents share an environment.
Université de Lille -
BlackRock - Geopolitical Influence of a P.E. conglomerate.
A short report on BlackRock's geopolitical influence, sourced from verifiable reporting.