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Machine Learning @ UBC
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    • Machine Learning Reading Group (MLRG)

    Machine learning and its applications have been on the rise in recent years, with UBC faculty members from the Departments of Computer Science, Statistics and Mathematics at the Faculty of Science, and the Faculty of Applied Sciences at UBC leading several efforts in this area.

    This website showcases some of the machine learning activities ongoing at UBC. Recent Machine Learning research at UBC focuses on probabilistic programming, reinforcement learning and deep learning. Application areas of interest at UBC include algorithms for large datasets, computer vision, robotics and autonomous vehicles. On the educational side, 2 specific machine learning courses are delivered each year, with tangential courses also available as part of Masters and PhD programs.

     NameResearch Interests
    Alexandre Bouchard-Côté
    Associate Professor, UBC Statistics
    bouchard@stat.ubc.ca
    Computational statistics
    Statistical machine learning
    Applications in linguistics and biology
    Benjamin Bloem-Reddy
    Assistant Professor, UBC Statistics
    benbr@stat.ubc.ca
    Statistical machine learning
    Probabilistic modelling
    Network data analysis
    Bayesian nonparametrics
    Cristina Conati
    Professor, UBC Computer Science
    Distinguished Scholar, UBC Sauder School of Business
    Research Groups: Human-AI Interaction; Designing For People (DFP)
    conati@cs.ubc.ca
    Human computer interaction
    Cognitive science
    Affective computing
    Explainable AI
    Danica Sutherland
    Associate Professor, UBC Computer Science
    djs@djsutherland.ml
    Generative models
    Density estimation
    Distribution regression
    Approximate kernel embeddings
    David Poole
    Professor, UBC Computer Science
    Director, Laboratory for Computational Intelligence (LCI)
    poole@cs.ubc.ca
    Artificial intelligence
    Algorithms for probabilistic reasoning
    Diagnosis and decision theory
    Preference elicitation
    Semantic science
    Statistical relational AI
    Frank Wood
    Associate Professor, UBC Computer Science
    Canada CIFAR AI Chair at MILA
    Research Group: Programming Languages for Artificial Intelligence (PLAI)
    fwood@cs.ubc.ca
    Probabilistic programming
    Applied probabilistic machine learning
    Probabilistic models and inference algorithms
    Giuseppe Carenini
    Professor, UBC Computer Science
    Director, UBC Master in Data Science
    Research Groups: Deep Learning & Natural Language Processing (UBC NLP); Centre for Artificial Intelligence Decision-making & Action (CAIDA)
    carenini@cs.ubc.ca
    Artificial intelligence
    Natural language processing
    Visualization
    Helge Rhodin
    Assistant Professor, UBC Computer Science
    Research Groups: Imager lab for Graphics, Visualization and HCT ; Computer Vision
    rhodin@cs.ubc.ca
    Graphics
    Vision
    Virtual/augmented reality
    Self-supervised learning
    Jeff Clune
    Associate Professor, UBC Computer Science
    Research Team Leader, OpenAI
    jeff.clune@ubc.ca
    Deep learning
    Deep reinforcement learning
    Evolving neural networks
    Robotics
    Kevin Leyton-Brown
    Professor, UBC Computer Science
    Canada CIFAR AI Chair at Alberta Machine Intelligence Institute (Amii)
    kevinlb@cs.ubc.ca
    Algorithm design
    Combinatorial optimization
    Game theory
    Market design
    Automl
    Kwang Moo Yi
    Assistant Professor, UBC Computer Science
    Research Group: Computer Vision & Robotics
    kmyi@cs.ubc.ca
    Visual geometry​
    Computer vision
    Computer graphics​
    Leonid Sigal
    Associate Professor, UBC Computer Science
    Canada Research Chair (CRC II) in Computer Vision and Machine Learning
    Canada CIFAR AI Chair at Vector Institute
    lsigal@cs.ubc.ca
    Computer graphics
    Computer vision
    Machine learning
    Mark Schmidt
    Associate Professor, UBC Computer Science
    Canada CIFAR AI Chair at Alberta Machine Intelligence Institute (Amii)
    Canada Research Chair (CRC II) in Large Scale Machine Learning
    schmidtm@cs.ubc.ca
    Numerical optimization
    Machine learning
    Mathias Lécuyer
    Assistant Professor, UBC Computer Science
    Research Group: Systopia: Networks, Systems and Security Lab
    mathias.lecuyer@ubc.ca
    Differential privacy
    Explainability
    Causality
    Reinforcement learning
    Federated learning
    System and security applications
    Michiel van de Panne
    Professor, UBC Computer Science
    Research Group: Imager lab for Graphics, Visualization and HCT
    van@cs.ubc.ca
    Reinforcement learning
    Modeling human movement
    Robotics
    Computer animation
    Computer graphics
    Mijung Park
    Associate Professor, UBC Computer Science
    Privacy preserving machine learning
    Bayesian statistics
    Muhammad Abdul-Mageed
    Associate Professor, School of Information and Department of Linguistics (Joint Appointment); Computer Science (Courtesy)
    Canada Research Chair (CRC II) in Natural Language Processing and Machine Learning
    Research Group: Deep Learning & Natural Language Processing (UBC NLP)
    muhammad.mageed@ubc.ca
    Deep representation learning
    Natural language socio-pragmatics
    Machine translation
    Speech processing
    Trevor Campbell
    Associate Professor, UBC Statistics
    trevor@stat.ubc.ca
    Bayesian inference
    Bayesian nonparametrics
    Vered Shwartz
    Assistant Professor, UBC Computer Science
    Research Groups: Deep Learning & Natural Language Processing (UBC NLP); Centre for Artificial Intelligence Decision-making & Action (CAIDA)
    vshwartz@cs.ubc.ca
    Artificial intelligence
    Machine learning
    Natural language processing
    Computer Science
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    201-2366 Main Mall
    Vancouver, BC Canada V6T 1Z4
    Website ml.ubc.ca
    Email plai-admin@cs.ubc.ca
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