Invited Talks and Tutorials

  • Molecule Representation Learning and Discovery: A Perspective from Topology, Geometry, and Textual Description
    University of California, Berkeley, March 16th, 2023

  • ProteinDT: A Text-guided Protein Design Framework
    NRC NLP seminar, March 10th, 2023

  • Molecule Representation Learning and Discovery: A Perspective from Topology, Geometry, and Textual Description
    M2D2, Feb 14th, 2023

  • GraphCG: Unsupervised Discovery of Steerable Factors in Graphs
    LOG, Meetup @ Mila, Dec 12th, 2022
    [Slides]

  • Self-Supervised Pretraining with 3D Molecular Geometry
    Huawei, July 18th, 2022
    [Slides]

  • Pre-training Molecular Graph Representation with 3D Geometry – Rethinking Self-Supervised Learning on Structured Data
    AI Times, March 31st, 2022
    [Slides]

  • Pre-training Molecular Graph Representation with 3D Geometry – Rethinking Self-Supervised Learning on Structured Data
    Graph Reading Group, Mila, Feb 24th, 2022
    [Slides]

  • Pre-training Molecular Graph Representation with 3D Geometry – Rethinking Self-Supervised Learning on Structured Data
    NLP Reading Group, University of Oxford, Feb 11th, 2022
    [Slides]

  • Molecular Representation Learning with Limited Data
    Predoc-3 Presentation, Mila, Dec 9th, 2021
    [Slides]

Group Meetings