Research Interests

• Transfer Learning/Robustness
  • Meta-learning
  • Domain Adaptation
  • Domain Generalization
• Learning Theory
  • Information-theoretic learning
  • PAC Bayes
• Online/Continual Learning
• Algorithmic Fairness
• Generative Models
• etc…

Research Activities

• Conference Reviewer
  • NeurIPS (2022 [Outstanding Reviewer 10%], 2023, 2024)
  • ICML (2022, 2023, 2024)
  • AISTATS (2020, 2023, 2024)
  • ICLR (2024,2025)
  • AAAI (2025)
• Journal Reviewer
  • TPAMI
  • TNNLS
  • TMLR
• Action Editor
  • TMLR
• Invited Talks
  • [ELLIS Institute Finland Scientific Seminar Talk], “Generalize to Discover”, Helsinki, Nov. 2025
  • Vector Institute Research Day Highlight Talk, “Towards understanding evolving patterns in sequential data”, Toronto, Nov. 2024
  • Beneva Insurance Group, “On Distribution Shifts in Insurance Data, How to Address It?”, Quebec, Nov. 2023