Toulouse, France
Maths & AI master's student at Toulouse School of Economics. I make data speak: econometrics, machine learning, causal inference.
About me
Master's student in Mathematics & Economic Decisions at Toulouse School of Economics, I work at the intersection of econometrics, statistics, and machine learning. My favourite area is Reinforcement Learning.
The projects I take part in are ones I genuinely care about — which means I adapt quickly to any new opportunity.
I follow research closely in Reinforcement Learning, Embodied AI, and World Models, and I am looking for a 6-month internship starting May 2027.
Work
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What I write & read
See all →My Publications
Caching strategies for high-traffic APIs
Mathéo Trebosc
An overview of caching strategies (cache-aside, write-through, invalidation) and their trade-offs, with measurements on a real-world case. (Example publication.)
Reviews
Designing Data-Intensive Applications
Martin KleppmannbookData systems · Distributed systems · StorageThe reference for reasoning about modern data systems — storage, replication, consistency. Broad and rigorous at once.