Chris Bamford
Also known as Christopher Bamford
Chris Bamford is an AI researcher whose work spans game-AI systems, language models, and robot navigation. He co-authored Griddly and GriddlyJS, a web IDE for reinforcement-learning research, and papers on Mistral 7B, Mixtral, and Magistral. In July 2026, he co-authored Robostral Navigate, an 8B vision-language model for robot navigation from monocular RGB images. As of October 2026, he is an AI Scientist at Mistral AI.
- Now at
- Mistral AI
- Works
- 19
- Citations
- 542
- h-index
- 6
- Badges
Publication numbers from OpenAlex, as of 19 October 2026.
Timeline
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2020
Griddly for game AI
A 2020 paper co-authored by Bamford introduces Griddly, a configurable platform for Game AI research with different observer types and an efficient C++ core engine.
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2022
GriddlyJS for reinforcement learning
In 2022, he co-authors GriddlyJS, a web IDE for designing and debugging grid-world environments and evaluating trained reinforcement-learning agents.
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2023
Mistral 7B
He co-authors Mistral 7B in 2023, a 7-billion-parameter model using grouped-query and sliding-window attention.
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2024
Mixtral of Experts
Mixtral of Experts includes him as a co-author in 2024 and introduces a sparse mixture-of-experts language model with eight feedforward blocks in each layer.
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June 2025
The Magistral reasoning model
In June 2025, he co-authors Magistral, Mistral's first reasoning model, and its scalable reinforcement-learning pipeline.
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July 2026
Robostral Navigate
In July 2026, he co-authors Robostral Navigate, an 8B vision-language model that predicts navigation waypoints from monocular RGB images.
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As of October 2026
AI scientist at Mistral
As of October 2026, he is an AI Scientist at Mistral AI.
Career
- NowMistral AIAI Scientist
- 2019–2021Queen Mary University of London
Most-cited works
- Mistral 7BWith Alexandre Sablayrolles, Diego de las Casas and Teven Le Scao
- Mixtral of ExpertsWith Alexandre Sablayrolles, Antoine Roux, Diego de las Casas and Teven Le Scao
- Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
- A Local Approach to Forward Model Learning: Results on the Game of Life GameWith Rudolf Kruse
- Griddly: A platform for AI research in games
Sources and credits
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