Principal Investigator

Postdocs

  • Janarthanan Rajendran
    Co-supervisor: Doina Precup
    Research Areas: Reinforcement Learning, Lifelong Learning, Meta-Learning, Dialog Systems

PhD Students

  • Gabriele Prato
    Co-supervisor: Alain Tapp
    Research Areas: Out-of-Distribution Generalization
  • Simon Guiroy
    Co-supervisor: Chris Pal
    Research Areas: Meta-Learning, Transfer Learning
  • Louis Clouatre
    Co-supervisor: Amal Zouaq
    Research Areas: NLP, sequential information
  • Doriane Olewicki
    Co-supervisor: Bram Adams
    Research Areas: Continual Learning for Software Engineering, Continuous Integration
  • Abdelrahman Zayed
    Research Areas: Applying constraints to neural networks, Recurrent neural networks
  • Andreas Madsen
    Co-supervisor: Siva Reddy
    Research Areas: Interpretability in NLP
  • Mojtaba Faramarzi
    Research Areas: Continual learning focused on replay and regularization methods, Data-dependent regularization for deep learning

Masters Students

  • Charan Reddy
    Research Areas: Modular Continual Learning, Multi Domain Meta Learning, Fairness in Deep Learning, Optimization
  • Darshan Patil
    Research Areas: Lifelong learning, Compositionality, Learning from Instruction
  • Ali Rahimi-Kalahroudi
    Research Areas: Deep Reinforcement Learning, Lifelong Learning
  • Pranshu Malviya
    Research Areas: Lifelong Learning, Causal Inference, Optimization
  • Daphné Lafleur
    Co-supervisor: Gilles Pesant
    Research Areas: Algorithmic composition, Constraint programming, Machine learning

Interns/RAs

  • Hadi Nekoei
    Research Areas: Model-based RL, Multi-agent RL, Lifelong Learning
  • Paul-Aymeric McRae
    Research Areas: Optimization, RNNs
  • Shabnam Haghzare
    Research Areas: Human-Automation Interaction, Automated Driving, Older Adults, Intelligent Vehicles, Artificial Intelligence
  • Saujas Vaduguru
    Research Areas: NLP, Dialog systems
  • Maziar Sargordi
    Research Areas: Machine Learning, Lifelong Learning
  • Yi Wan
    Research Areas: Reinforcement Learning
  • Vignesh Rangarajan
    Research Areas: Reinforcement Learning, Multi-agent learning, Natural Language Processing, Computer Vision, Sublinear Algorithms

Alumni and their next step

Masters Students

Interns