Molecular Foundation Models
Foundation models that learn universal representations from large-scale molecular data.
Akinori Sato
Specially Appointed Assistant Professor
Nara Institute of Science and Technology (NAIST) ARWIT Promotion Center (cross-appointed with Data-driven Science Creative Center)
Member of the Chemoinformatics Laboratory
Specialty: Cheminformatics
I develop data-driven methods and foundation models to accelerate molecular discovery and design.
News
- Joined ARWIT Promotion Center as Specially Appointed Assistant Professor.
Chemical Language Models
Language models over chemical strings (e.g., SMILES) for molecular generation and prediction.
Data-driven Molecular Design
Molecular design and optimization combining experimental data with machine learning.