# Joelle Pineau

> Source: https://aiwiki.ai/wiki/joelle_pineau
> Updated: 2026-06-28
> Categories: Meta AI, People, Reinforcement Learning
> From AI Wiki (https://aiwiki.ai), a free encyclopedia of artificial intelligence. Quote with attribution.

Joelle Pineau (born 1974) is a Canadian computer scientist who is the first Chief AI Officer of [Cohere](/wiki/cohere), a professor and William Dawson Scholar at [McGill University](/wiki/mcgill_university), and a core academic member of [Mila](/wiki/mila). She is best known for her research in [reinforcement learning](/wiki/reinforcement_learning) and planning under uncertainty, her advocacy for reproducibility in machine learning, and her eight-year tenure leading [Meta](/wiki/meta_ai)'s Fundamental AI Research organization, where she rose to Vice President of AI Research and headed [Meta FAIR](/wiki/meta_fair) before departing in May 2025.[1][2][3] She joined Cohere in the newly created Chief AI Officer role announced on August 14, 2025.[7][9]

## Who is Joelle Pineau?

Pineau is a computer scientist whose career spans academia and industry research leadership. She holds the title of William Dawson Scholar at the School of Computer Science at McGill University, co-directs the Reasoning and Learning Lab, and is a Canada CIFAR AI Chair and a core academic member of Mila, the Quebec Artificial Intelligence Institute.[2][3] From 2017 to 2025 she worked at Meta (formerly Facebook), where she eventually served as Vice President of AI Research and led the Meta FAIR lab.[1][2] In August 2025 she became the first Chief AI Officer of the Toronto-based enterprise AI company Cohere.[7][9]

## Early life and education

Pineau was born in 1974 in Ottawa, Ontario.[1] She earned a Bachelor of Applied Science in systems design engineering from the University of Waterloo, then completed a Master of Science and a PhD in robotics at Carnegie Mellon University, receiving her doctorate in 2004.[1][2][3] At Carnegie Mellon she was advised by Sebastian Thrun and Geoffrey Gordon. Her doctoral work concerned planning in partially observable Markov decision processes (POMDPs), a framework for sequential decision-making under uncertainty, and a chapter from that work became one of her most-cited contributions.[1]

## What is Joelle Pineau known for in academia?

Pineau joined McGill University as a faculty member in the School of Computer Science, where she co-directs the Reasoning and Learning Lab.[2][3] She holds the title of William Dawson Scholar and is a Canada CIFAR AI Chair.[2][3] As a core academic member of Mila, she is part of one of the largest concentrations of deep-learning researchers in the world.[2]

Her research develops models and algorithms for planning and learning in complex, partially observable domains. The work spans reinforcement learning, deep learning, and Bayesian methods for planning under uncertainty, with applications to robotics, conversational agents (dialogue systems), games, and health care, including personalized medicine.[2][3] One line of her health-care research applied reinforcement learning and adaptive methods to treatment strategies, for example optimizing therapy decisions over time.[3]

Pineau has held several service roles in the machine-learning community. She has served as a past president of the International Machine Learning Society, which oversees the International Conference on Machine Learning (ICML), and has sat on the editorial board of the Journal of Machine Learning Research.[2][3]

## Why is Joelle Pineau associated with reproducibility?

Pineau is one of the most prominent advocates for reproducibility in machine learning research. In 2019 she served as the inaugural Reproducibility Chair of the Conference on Neural Information Processing Systems (NeurIPS), where she introduced the Machine Learning Reproducibility Checklist into the paper-submission process.[1][3] The NeurIPS 2019 reproducibility program had three components: a code-submission policy, a community-wide reproducibility challenge, and the checklist itself.[4]

She and her collaborators documented the program in a 2020 report titled 'Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)', on which she was the first author.[4] Her group also studied reproducibility empirically, including an analysis of how implementation details and random seeds affect reported results in deep reinforcement learning. The reproducibility checklist she helped create has been reused at subsequent NeurIPS conferences and adapted by other venues.[4]

## What did Joelle Pineau do at Meta (Facebook AI Research)?

In 2017 Pineau joined Facebook (later Meta) to lead its newly opened FAIR laboratory in Montreal, while remaining on the McGill faculty.[1][2] FAIR, the Fundamental AI Research organization, was founded under [Yann LeCun](/wiki/yann_lecun) and conducts open, long-horizon research in artificial intelligence.

In early 2023 Pineau was promoted to lead the entire FAIR organization as Vice President of AI Research, reporting to Meta's Chief Product Officer Chris Cox.[5][6] During her time leading the lab, FAIR's outputs included the open-source [Llama](/wiki/llama) family of large language models and the [PyTorch](/wiki/pytorch) deep-learning framework, and she helped guide the early development of Meta's open models alongside LeCun.[1][7]

On April 1, 2025, Pineau announced in a post on social media that she would leave Meta, with her last day on May 30, 2025, after nearly eight years at the company.[5][6][8] She said she planned to take time off before pursuing a new opportunity.[8] Her departure was reported in the context of Meta's broader reorganization of its AI efforts, including the assembly of a new team focused on advanced AI, and Meta said the search for a new head of FAIR was underway.[6][7]

## Where does Joelle Pineau work now?

On August 14, 2025, Cohere, a Toronto-based company that builds large language models for enterprise use, announced that Pineau would join as its first Chief AI Officer, a newly created role.[7][9] Cohere was founded in 2019 by former Google Brain researchers Aidan Gomez, Nick Frosst, and Ivan Zhang.[9] In the position Pineau oversees AI strategy across the company's research, product, and policy teams.[7][9]

The appointment was announced alongside Cohere's US$500 million funding round, which valued the company at US$6.8 billion, up from a US$5.5 billion valuation the previous year; the oversubscribed round was led by the Canadian funds Radical Ventures and Inovia Capital, with participation from investors including AMD Ventures, Nvidia, PSP Investments, and Salesforce Ventures.[9] At the time of the raise Cohere reported that it had roughly doubled its annual recurring revenue and crossed the US$100 million mark in May 2025.[9]

In interviews around the hiring, Pineau distinguished Cohere's enterprise focus from the emphasis on artificial general intelligence at some other labs. 'A lot of players out there are quite singularly focused on AGI, superintelligence, and so on,' she told TechCrunch, adding that they 'haven't necessarily figured out what this AI is going to be used for.'[7] Of her own priorities she said she was 'interested in real solutions, rather than a lot of talk and the hype.'[9] Cohere has positioned itself around the slogan 'ROI over AGI,' and Pineau later described it as 'a very low drama company.'[7]

## What honors has Joelle Pineau received?

| Year | Honor |
|------|-------|
| 2018 | Fellow, Association for the Advancement of Artificial Intelligence (AAAI) |
| 2018 | NSERC E.W.R. Steacie Memorial Fellowship |
| 2019 | Governor General's Innovation Award |
| 2023 | Fellow, Royal Society of Canada |

Source: [1][2][3]

## Career timeline

| Period | Role |
|--------|-------|
| 2004 | PhD in robotics, Carnegie Mellon University |
| 2004 onward | Professor, School of Computer Science, McGill University; co-director, Reasoning and Learning Lab |
| 2017 to 2025 | Facebook / Meta: led the FAIR Montreal lab (from 2017), then VP of AI Research leading all of FAIR (from early 2023) |
| 2019 | Inaugural Reproducibility Chair, NeurIPS |
| 2025 | Chief AI Officer, Cohere |

## References

[1] "Joelle Pineau," Wikipedia. https://en.wikipedia.org/wiki/Jo%C3%ABlle_Pineau

[2] "Joelle Pineau," Mila (Quebec Artificial Intelligence Institute). https://mila.quebec/en/directory/joelle-pineau

[3] "Joelle Pineau's Home," McGill School of Computer Science. https://www.cs.mcgill.ca/~jpineau/

[4] Joelle Pineau et al., "Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)," arXiv:2003.12206 / Journal of Machine Learning Research, 2020/2021. https://arxiv.org/abs/2003.12206

[5] "Meta's Head of AI Research to Leave, Roiling Investment Push," Bloomberg, April 1, 2025. https://www.bloomberg.com/news/articles/2025-04-01/meta-s-head-of-ai-research-to-leave-roiling-investment-push

[6] "Meta's head of AI research announces departure," CNBC, April 1, 2025. https://www.cnbc.com/2025/04/01/metas-head-of-ai-research-announces-departure.html

[7] "Cohere hires long-time Meta research head Joelle Pineau as its chief AI officer," TechCrunch, August 14, 2025. https://techcrunch.com/2025/08/14/cohere-hires-long-time-meta-research-head-joelle-pineau-as-its-chief-ai-officer/

[8] "Meta's head of AI research plans to leave the company," TechCrunch, April 1, 2025. https://techcrunch.com/2025/04/01/metas-head-of-ai-research-plans-to-leave-the-company/

[9] "Cohere raises $500M at $6.8B valuation," Cohere, August 14, 2025. https://cohere.com/blog/august-2025-funding-round