Invited Talks

• Developing Continuous-time and Geometric ML Methods for Biomolecules
  OpenProtein.AI · 2026
• Let Physics Guide your Protein Flows: Topology-aware Unfolding and Generation
  ResearchTrend.AI · 2025
• Generative Models for Drug Discovery: From Small Molecules to Proteins Keynote
  AI in Drug Discovery Symposium, Helsinki Institute of Life Science (HiLIFE) · 2025
• When Physics Meets ML: Continuous-time and Geometric Methods for Science
  Mathematical Perspective on Machine Learning Seminar (MPML), University of Helsinki · 2025
• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Keynote
  FCAI FAMESIG Meeting, Finnish Center for Artificial Intelligence · 2025
• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Keynote
  Math+ML+X Seminar, Tsinghua University, China · 2025
• Physics-inspired Deep Representation Learning Keynote
  ELLIS Advanced Probabilistic Machine Learning Seminar (APML) · 2024
• Physics-informed Learning for Weather and Climate Keynote
  ELLIS Workshop on Physics-Informed Learning, ELISE Conference · 2024
• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
  AI4Science Seminar, University of Stuttgart · 2024
• Modular Flows: Differential Molecular Generation
  Research Seminar, MLLS Institute, Denmark · 2023