Research overview
KAIST CBE Young Global Investigator Symposium (Feb 2026)
Universally Converging Representations of Matter Across Scientific Foundation Models.
LeMaterial Seminar Series (Jan 2026)
Symposium on the Platonic Space (Feb 2026)
Transferable temperature-dependent Boltzmann Emulator
SSRL/LCLS Users' Meeting at SLAC National Laboratory: Building a General Inference Engine for Molecular Structures and Ensembles (Sep 2025)
SNU Chemistry Departmental Seminar (Oct 2025)
Learning Collective Variables for Protein Folding with Labeled Data Augmentation through Geodesic Interpolation
MIT Computational & Systems Biology Student Seminar (Feb 2024)
IMSI workshop Learning Collective Variables and Coarse Grained Models (Apr 2024)
MoML Best Paper Award (Nov 2024)
Lab seminar invites: EPFL Michele Ceriotti Lab (Aug 2024), HMS Debora Marks Lab (Mar 2024)
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
Learning on Graphs and Geometry (LoG) Reading Group (Apr 2023)
CECAM/Psi-k Conference “Bridging length scales with machine learning: from wavefunctions to thermodynamics” Invited Talk/Panel Discussion (May 2023)
ICML Poster (Jul 2023)
Boston Protein Design and Modeling Club Seminar (Dec 2023)
Lab seminar invites: POSTECH Sungsoo Ahn Lab (Apr 2023), Flagship Pioneering (May 2023)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecular Generation
KAIST AI Student Colloquium (Oct 2021)
NeurIPS Poster (Dec 2021)