Joelle Pineau
VP of AI Research, Meta | Professor of Computer Science, McGill University
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Joelle Pineau. Every entry undergoes editorial source verification.
Reinforcement Learning for Personalized Dynamic Treatment Regimes
Pioneered offline batch reinforcement learning formulations optimizing multi-stage clinical interventions for chronic diseases including epilepsy and pediatric cancer, adapting dosages over time while minimizing toxic side effects.
High clinical safety thresholds require provable off-policy evaluation bounds before live patient deployment.
The Machine Learning Reproducibility Checklist & Code Submission Mandates
Instituted the comprehensive standard adopted across NeurIPS, ICML, and ICLR requiring verified disclosures of random seeds, hyperparameter search spaces, computing infrastructure specs, and open code repositories to resolve the ML reproducibility crisis.
Checking hardware parity across multi-thousand GPU clusters remains difficult for smaller independent academic labs.