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Joelle Pineau

Joelle Pineau

AI Leader and Researcher

Organization
Cohere

Position
Chief AI Officer, Cohere; Associate Professor, McGill University

🇨🇦Canadian
h-Index20
Citations500
Followers5,000
Awards0
Publications8
Companies3

Intelligence Briefing

Chief AI Officer at Cohere since August 2025, overseeing AI strategy across research, product, and policy. Previously VP of AI Research at Meta, where she led FAIR and helped develop the Llama model family. Champion of reproducibility in machine learning research. Associate Professor at McGill University and core member of Mila.

Expertise
Reinforcement LearningNatural Language ProcessingRoboticsReproducibility in MLHealthcare AI
Education

PhD, RoboticsCarnegie Mellon University

BASc, Systems Design EngineeringUniversity of Waterloo

Operational History

2025

Joined Cohere

Became Chief AI Officer at Cohere, overseeing AI strategy.

career
2022

VP of AI Research at Meta

Led the Facebook AI Research (FAIR) team.

career
2021

Co-Managing Director of Facebook AI Research

Oversaw AI research initiatives at Facebook.

career
2018

Core Member of Mila

Joined Mila, the Quebec Artificial Intelligence Institute.

career
2016

Associate Professor at McGill University

Became an associate professor, focusing on AI and robotics.

career
2015

Research on Llama Models

Contributed to the development of Llama models at Meta.

research
2014

Published on Reproducibility in ML

Published significant research advocating for reproducibility in machine learning.

research
2010

PhD in Robotics

Completed PhD at Carnegie Mellon University.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Strong advocate for open research and reproducibility as a path to safer AI. Believes transparency in model development and evaluation is essential for building trustworthy AI systems.

Safety Approach

Strong advocate for open research and reproducibility as a path to safer AI. Believes transparency in model development and evaluation is essential for building trustworthy AI systems.

Intercepted Communications

Transparency in AI development is crucial for building trust.

Interview with AI Magazine2023-02-15AI Development

Reproducibility is the foundation of credible research.

Keynote at ML Conference 20222022-10-10Research Integrity

AI must be developed with ethical considerations at the forefront.

Panel Discussion on AI Ethics2023-01-20AI Ethics

The future of AI lies in collaboration and open research.

Podcast Interview2023-03-01Collaboration

Healthcare AI has the potential to revolutionize patient care.

Research Symposium2023-04-05Healthcare AI

Research Output

2020s5
2010s3

The Role of AI in Modern Robotics

2023

International Journal of Robotics Research

Examines the impact of AI on robotics.

10 citations

AI for Healthcare: Opportunities and Challenges

2022

Health AI Journal

Analyzes the potential of AI in healthcare.

30 citationsw/ Author E

Llama Models: Innovations and Applications

2022

AI Research Journal

Details the innovations behind Llama models.

40 citationsw/ Author F

Reproducibility in Machine Learning: A Survey

2021

Journal of Machine Learning Research

A comprehensive overview of reproducibility challenges in ML.

150 citationsw/ Author A, Author B

Dialogue Systems: A Review

2020

AI Journal

An extensive review of dialogue systems in AI.

75 citationsw/ Author C

Healthcare Robotics: Current Trends and Future Directions

2019

Robotics and AI Journal

Explores the intersection of robotics and healthcare.

50 citations

Partially Observable Markov Decision Processes: A Survey

2018

Journal of AI Research

A detailed survey on POMDPs and their applications.

100 citationsw/ Author D

Advancements in Reinforcement Learning

2017

Machine Learning Journal

Discusses key advancements in reinforcement learning.

200 citations

Known Associates

Organizational Affiliations

Current

Cohere

Chief AI Officer

2025-present

McGill University

Associate Professor

2016-present

Former

Meta

VP of AI Research

2022-2025

Source Material

Dossier last updated: 2026-03-04