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 and openings:

I currently share my time between McGill and Meta. I am not currently taking new graduate students at McGill and am not able to host international visitors or interns. McGill CS undergraduate students who have taken COMP-424 or COMP-551 are invited to contact one of my postdocs to inquire about possible research projects; contact them 2 weeks before the semester for a 3 or 4 credit research course, and in January for a summer full-time internship (positions are very limited).

Bio:

Joelle Pineau is a Professor and William Dawson Scholar at the School of Computer Science at McGill University, where she co-directs the Reasoning and Learning Lab. She is a core academic member of Mila and a Canada CIFAR AI chairholder. She is also a VP, AI research at Meta (previously Facebook), where she leads the Fundamental AI Research (FAIR) team. She holds a BASc in Systems Design 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 partially-observable domains. She also works on applying these algorithms to complex problems in robotics, health care, games and conversational agents. She serves on the editorial board of the Journal of Machine Learning Research and is Past-President of the International Machine Learning Society. She is a recipient of NSERC's E.W.R. Steacie Memorial Fellowship (2018), a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Senior Fellow of the Canadian Institute for Advanced Research (CIFAR), a member of the College of New Scholars, Artists and Scientists by the Royal Society of Canada, and a 2019 recipient of the Governor General's Innovation Awards.