News:

Looking for the Machine Learning Reproducibility Checklist?
Use this before your next paper submission to ensure you don't miss important details!

Current status:

I am currently on (part-time) leave from McGill. I am not taking new graduate students and am not able to host international visitors or interns. I receive a very high volume of email, and an unable to respond to all requests and messages.

Short bio:

Joelle Pineau is a Professor at the School of Computer Science at McGill University and core member of Mila. She was previously VP AI research at Meta, leading its Fundamental AI Research (FAIR) team (2017-2025). She holds a BASc in Engineering from the University of Waterloo, and an MSc and PhD in Robotics from Carnegie Mellon University. Dr. Pineau's research focuses on developing new models and algorithms for planning and learning in complex domains. She also works on applying these algorithms to real-world problems in robotics, healthcare, and conversational agents. She is a past President of the International Machine Learning Society, the inaugural Reproducibility Chair of the NeurIPS conference, and is the creator of the ML Reproducibility checklist and the ML Reproducibility challenge. She is a recipient of NSERC's E.W.R. Steacie Memorial Fellowship (2018), the Governor General's Innovation Awards (2019), a CIFAR Canada AI (CCAI) chair-holder, a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and a Fellow of the Royal Society of Canada (RSC).