Rémi Delacourt
Also known as Remi Delacourt
Rémi Delacourt is a Research Engineer at Mistral AI in Paris, where his focus is large-scale machine learning systems. He earned an M.S. in 2024 with Carnegie Mellon's Catalyst group, a machine learning and systems research group. He was an author of the AdaServe serving system, posted in January 2025, of Mistral's first reasoning model Magistral in June 2025, and of the Voxtral audio models in July 2025. In 2026, the FlexLLM serving system appeared at NSDI '26, and he was an author of the Robostral Navigate robot navigation model and the Shieldstral safety classifier in July 2026.
- Now at
- Mistral AI
- Works
- 5
- Citations
- 5
- h-index
- 2
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2024
Master's in CMU's Catalyst group
He completes an M.S. in 2024 with the Catalyst group at Carnegie Mellon University. Catalyst is an interdisciplinary machine learning and systems research group that explores problems to automate learning systems.
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January 2025
AdaServe speculative decoding system
In January 2025, AdaServe appears on arXiv with him among its authors. The LLM serving system tailors speculative decoding to each request's latency target, and it is on the program of EuroSys 2026 in Edinburgh, where his affiliation is given as EPFL.
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June 2025
The Magistral reasoning model
In June 2025, he is among the authors of Magistral, Mistral's first reasoning model. The paper describes a scalable reinforcement learning pipeline built on Mistral's own models and infrastructure, with Magistral Medium trained by RL alone on top of Mistral Medium 3 and Magistral Small released as open source under Apache 2.0.
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July 2025
Voxtral speech models
He is among the authors of Voxtral in July 2025, which presents Voxtral Mini and Voxtral Small, two multimodal audio chat models that comprehend spoken audio and text. A 32K context window handles audio files up to 40 minutes, and both models are released under the Apache 2.0 license.
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2026
Co-serving with FlexLLM
In 2026, FlexLLM appears at USENIX NSDI '26 with him among its authors, listed at Mistral AI. The system co-serves LLM inference and PEFT-based finetuning on shared GPUs by fusing computation at the token level, with end-to-end GPU memory savings of up to 80%.
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July 2026
Robostral Navigate for robots
He is among the authors of Robostral Navigate in July 2026, an 8B vision-language model that navigates robots from a stream of monocular RGB images. It reaches a 77.4% success rate on the R2R-CE benchmark with a single RGB camera.
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July 2026
The Shieldstral safety classifier
Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier, appears on arXiv in July 2026 with him among its authors. The model frames content moderation as a binary question-answering task and matches or outperforms models nearly seven times its size on text safety benchmarks.
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As of October 2026
Research engineer at Mistral AI
He is a Research Engineer at Mistral AI in Paris, with a focus on large-scale machine learning systems. His work covers designing models under hardware- and system-level constraints and then maximizing their speed and efficiency.
Career
- NowMistral AIResearch Engineer
Education
- 2024Carnegie Mellon UniversityM.S.
Most-cited works
- MagistralWith Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg, Baptiste Bout and Baudouin De Monicault
- Robostral NavigateWith Alexandre Sablayrolles, Amélie Héliou, Baptiste Bout, Baudouin De Monicault, Chris Bamford and Christian Wallenwein
- ShieldstralWith Alexandre Sablayrolles, Amélie Héliou, Anmol Agarwal, Baptiste Bout, Baudouin De Monicault and Chris Bamford
- VoxtralWith Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg, Baptiste Bout and Baudouin De Monicault
Sources and credits
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