Chris Pal Lab
We build machine learning systems that connect strong theoretical foundations with practical impact across language, vision, and multimodal AI.
Principal Investigator
Christopher Pal is a Canada CIFAR AI Chair, full professor at Polytechnique Montréal, and adjunct professor in the Department of Computer Science and Operations Research (DIRO) at Université de Montréal. He is also a Distinguished Scientist at ServiceNow Research.
Pal has been involved in AI and machine learning research for over twenty-five years and has published extensively on large-scale language modelling methods and generative modelling techniques. He holds a PhD in computer science from the University of Waterloo.
Research Focus
- Language Models and NLP Large-scale language modeling, reasoning, evaluation, and reliable deployment.
- Vision and Generative Modeling Computer vision, image/video generation, and visual representation learning.
- Multimodal and Embodied AI Methods combining modalities with interaction, perception, and action.
- Robustness, Safety, and Trustworthy AI Reliable and interpretable ML systems with strong safety and robustness properties.
- Scientific and Agentic AI AI systems for discovery, scientific workflows, and autonomous research support.
- Applied ML for Environment, Health, and Accessibility High-impact applications in environmental monitoring, computational pathology, and assistive technology.
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News from the Group
February 20, 2026
Group Kickoff Meeting
Placeholder announcement for the first group-wide meeting and research roadmap discussion.
Read moreFebruary 10, 2026
New Preprint Released
Placeholder announcement about a new preprint on multimodal model adaptation.
Read moreJanuary 28, 2026
Two New Members Joined
Placeholder update welcoming a new postdoc and a new PhD student to the group.
Read more