Joelle Pineau
Chief AI Officer at Cohere and McGill professor; led Meta's FAIR research team from 2017 to 2025
- Chief AI Officer, Cohere1
- Professor (currently on part-time leave), and core member of Mila, McGill University (School of Computer Science)2
Joelle Pineau is Chief AI Officer at Cohere, where the company's about page lists Pineau on the executive team, and a Professor at McGill University's School of Computer Science and a core member of Mila; Pineau's McGill page notes a current part-time leave from McGill. From 2017 to 2025, Pineau was VP of AI research at Meta, heading its Fundamental AI Research (FAIR) team. Pineau's research develops models and algorithms for planning and learning in complex domains, with applications in robotics, healthcare, and conversational agents. Pineau created the ML Reproducibility Checklist and the ML Reproducibility Challenge, served as the inaugural Reproducibility Chair of NeurIPS, and is a Fellow of AAAI and of the Royal Society of Canada.123
Work
ML Reproducibility Checklist and NeurIPS reproducibility program (external site: arxiv.org)Published research
First author of Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), published in 2020. Pineau's McGill page describes Pineau as the creator of the ML Reproducibility Checklist and the ML Reproducibility Challenge and the inaugural Reproducibility Chair of the NeurIPS conference.32
Other documented roles
Roles the sources document but that are not confirmed as current.
- VP AI Research, heading the FAIR team (2017–2025), Meta (Fundamental AI Research, FAIR)2
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