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    Siamak Ravanbakhsh
    Assistant Professor, School of Computer Science, McGill University
    Canada CIFAR AI Chair, Mila

    Address:   3480 University Street,
    McConnell Engineering Building,
    Room 318, Montreal, Quebec, Canada H3A 0E9
    McGill Office:  MC 325
    Mila Office:  I.9

    Phone:  +1 (514) 398-7076

    Research

    My research area is machine learning.

    I’m particularly interested in representation learning, focusing on the principled use of geometry, probabilistic inference, and symmetry. This theme intersects and synergizes with several areas in machine learning, including geometric deep learning, probabilistic and generative models, reinforcement learning, and AI for science.


    Teaching

    COMP 588: Probabilistic Graphical Models (Winter 2025)

    COMP 451: Fundamentals of Machine Learning (Fall 2022, 2023, 2024)
    COMP 588: Probabilistic Graphical Models (Fall 2019, Winter 2021, 2022, 2023)
    COMP 551: Applied Machine Learning (Winter 2020, Fall 2