Joelle Pineau
VP of AI Research, Meta | Professor of Computer Science, McGill University
Vice President of AI Research at Meta, leading the Fundamental AI Research (FAIR) team, and Professor of Computer Science at McGill University (Core Faculty at Mila). Global champion of the AI Reproducibility Movement who created the NeurIPS Machine Learning Reproducibility Checklist. Pioneer in partially observable Markov decision processes (POMDPs) applied to healthcare decision-making, adaptive cancer therapy, and smart wheelchair robotics.
Areas of focus
Professional niches
Proof of Work
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.
Context: POMDP algorithms evaluated against clinical patient trial trajectories.
View missionThe 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.
Context: Adopted across tens of thousands of peer-reviewed machine learning papers globally.
View mission