Joelle Pineau

Joelle Pineau is a Professor at the School of Computer Science at McGill University and core member of Mila. Her research focuses on developing new models and algorithms for planning and learning in complex domains, with applications in robotics, healthcare, and conversational agents. She is also involved in promoting reproducibility in machine learning through the creation of the ML Reproducibility checklist and challenge. Dr. Pineau was previously VP AI research at Meta, leading its Fundamental AI Research (FAIR) team (2017-2025).

Joelle Pineau is a researcher in artificial intelligence, machine learning, and robotics. Her work focuses on developing advanced algorithms for reinforcement learning, dialogue systems, and robotic assistants. She has contributed to the design of deep reinforcement learning frameworks, end-to-end dialogue systems, and methods for improving the reproducibility and transparency of AI research. Pineau's research also addresses the challenges of deploying robotic assistants in real-world settings, such as nursing homes, and explores the energy and carbon footprint of machine learning systems. Her publications emphasize the importance of systematic evaluation and robust planning in AI applications.