| Oct 07, 2026 | A Review on Foundation Models for Polymer Informatics has been accepted for publication in MRS Bulletin 😎! |
| Sep 29, 2026 | Our work Graph Forward Distribution Matching for Molecular Inverse Design is on Arxiv 🤩! |
| Sep 24, 2026 | One first-author paper Controllable Molecular Generative Foundation Models is accepted to NeurIPS 2026! ✨ |
| Jun 17, 2026 | Organic Chemistry as a Catalyst for AI Innovation: Challenges, Methods, and Emerging Paradigms is published on Chemical Reviews. 📖 |
| Jun 16, 2026 | Excited to receive Notre Dame Scientific Artificial Intelligence (SAI) Initiative Grad Fellowship! 🙌 |
| May 14, 2026 | Controllable Molecular Generative Foundation Models is released on ArXiv! |
| Jan 26, 2026 | The paper Graph Diffusion Transformers are In-Context Molecular Designers is accepted to ICLR! |
| Oct 11, 2025 | I am excited to receive the NeurIPS 25 travel award. See you in UCSD! |
| Sep 18, 2025 | The paper Learning Repetition-Invariant Representations for Polymer Informatics is accepted to NeurIPS! ✨ |
| Jul 21, 2025 | Our book 📘 Modeling Polymers with Neural Networks for polymer scientists interested in applying machine learning and neural networks is published by the American Chemical Society! |
| Jun 16, 2025 | The Open Polymer Challenge: Leveraging Machine Learning for Polymer Informatics was accepted to NeurIPS 2025 Competition Track and is now LAUNCHed on Kaggle  ! |
| Jun 06, 2025 | torch-molecule released! pip install torch-molecule to start developing your own models. |