Quentin Fournier

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Hey, thanks for stopping by! 👋

I’m a Research Fellow at Mila - Quebec Artificial Intelligence Institute, where I’m leading a thematic lab on language models for drug discovery.

As a scientist, I’m broadly interested in machine learning. I’m currently focusing on understanding how to adapt all aspects of the LLM pipeline, from data processing and pre-training to alignment and evaluation, to the unique characteristics of biological data such as genomes, proteins, and small molecules.

Previously, I completed my PhD in ML from Polytechnique Montréal, where I was advised by Daniel Aloise and Michel R. Dagenais on language models for detecting anomalies in the Linux kernel. Later, I completed a postdoc with Sarath Chandar at the University of Montreal.

Latest Posts

Selected Publications

  1. NeoBERT: A Next Generation BERT
    Lola Le Breton, Quentin Fournier, John Xavier Morris, Mariam El Mezouar, and Sarath Chandar
    Transactions on Machine Learning Research, 2025
    Reproducibility Certification
  2. Structure-Aligned Protein Language Model
    Can Chen, David Heurtel-Depeiges, Robert M Vernon, Christopher James Langmead, Yoshua Bengio, and Quentin Fournier
    arXiv preprint arXiv:2505.16896, 2025
  3. NovoMolGen: Rethinking Molecular Language Model Pretraining
    Kamran Chitsaz, Roshan Balaji, Quentin Fournier, Nirav Pravinbhai Bhatt, and Sarath Chandar
    arXiv preprint arXiv:2508.13408, 2025