Molecular Foundation Models
Foundation models that learn universal representations from large-scale molecular data.
My research focuses on the three topics below. Detailed write-ups for each are coming soon.
Foundation models that learn universal representations from large-scale molecular data.
Language models over chemical strings (e.g., SMILES) for molecular generation and prediction.
Molecular design and optimization combining experimental data with machine learning.