Principal Investigator

Research Fellows

  • Picture of Quentin Fournier

    Research Areas: Lifelong Learning, Natural Language Processing

Postdocs

  • Picture of Mathieu Reymond

    Research Areas: Reinforcement learning, model-based RL, multi-agent RL, AI for scientific discovery

PhD Students

  • Picture of Gabriele Prato

    Co-supervisor: Alain Tapp
    Research Areas: NLP, Large Language Models, Knowledge Consolidation

  • Picture of Louis Clouâtre

    Co-supervisor: Amal Zouaq
    Research Areas: NLP, sequential information

  • Picture of Simon Guiroy

    Co-supervisor: Chris Pal
    Research Areas: Meta-Learning, Transfer Learning

  • Picture of Abdelrahman Zayed

    Research Areas: Natural language processing, Fairness, Causality

  • Picture of Xutong Zhao

    Research Areas: Reinforcement Learning, Lifelong Learning

  • Picture of Naga Karthik Enamundram

    Co-supervisor: Julien Cohen-Adad
    Research Areas: Continual Learning in Medical Imaging, Bayesian Uncertainty Estimation, Biomedical Image Processing

  • Picture of Hadi Nekoei

    Research Areas: Multi-agent RL, Model-based RL, Lifelong Learning, Generalization in RL

  • Picture of Pranshu Malviya

    Research Areas: Lifelong Learning, Causal Inference, Optimization

  • Picture of Prashant Govindarajan

    Research Areas: Reinforcement Learning, ML for drug discovery, Crystal Structure Design

  • Picture of Darshan Patil

    Research Areas: Lifelong learning, Compositionality, Learning from Instruction

  • Picture of Artem Zholus

    Research Areas: NLP, Reinforcement Learning

  • Picture of Jerry Huang

    Research Areas: Deep Learning, Natural Language Processing

  • Picture of Maryam Hashemzadeh

    Research Areas: Reinforcement Learning, Lifelong Learning, Natural Language Understanding

  • Picture of David Heurtel-Depeiges

    Research Areas: AI for Science, AI safety

  • Picture of Lola Le Breton

    Research Areas: Deep learning, Optimization, Lifelong Learning

Masters Students

  • Picture of Mohammad Reza Samsami

    Co-supervisor: Irina Rish
    Research Areas: Reinforcement Learning, Causality, Scaling Laws

  • Picture of Megh Thakkar

    Research Areas: Natural Language Processing, Large Language Models

  • Picture of Istabrak Abbes

    Research Areas: Optimization, Lifelong Learning

  • Picture of Antoine Clavaud
    Antoine Clavaud

    Research Areas: Reinforcement Learning, AI for scientific discovery

Interns/RAs

Alumni and their next step

Postdocs

PhD Students

  • (Aug 2020 - Nov 2024) ⸺ Founding Research Scientist at Guide Labs

Masters Students

Interns/RAs

  • (Sep 2022 - Dec 2023) ⸺ PhD student at University of Montreal
  • Annabel Adeyeri (Jun 2023 - Aug 2023) ⸺ Back to MIT
  • (Jun 2022 - Oct 2022) ⸺ Data Governance Manager at Sofrecom Tunisie
  • (May 2022 - Sep 2022) ⸺ Masters at University of Montreal
  • (Sep 2021 - Sep 2022) ⸺ PhD student at Polytechnique Montreal
  • (May 2022 - Aug 2022) ⸺ Back to IIT Kharagpur
  • (May 2022 - Aug 2022) ⸺ Back to IIT Kharagpur
  • (Jan 2020 - Dec 2021) ⸺ PhD student at University of Montreal
  • (May 2021 - Dec 2021) ⸺ Back to University of Toronto
  • (May 2021 - Dec 2021) ⸺ Back to Polytechnique Montreal
  • (May 2021 - Aug 2021) ⸺ Back to IIIT Hyderabad.
  • (Jun 2021 - Aug 2021) ⸺ Back to Mission San Jose High School.
  • (May 2021 - Aug 2021) ⸺ Back to University of Alberta
  • (Sep 2020 - Jul 2021) ⸺ PhD student at Michigan State University
  • (Jun 2020 - May 2021) ⸺ Masters at McGill Univesity
  • (Jun 2020 - Dec 2020) ⸺ Back to McGill University
  • Evan Racah (Jan 2020 - Jun 2020) ⸺ Waymo