Seul Lee

Seul Lee is working as a research intern at NVIDIA on the fundamental generative AI research (GenAIR) team. She is a Ph.D. student at KAIST, South Korea. She has been conducting research on various generative models, including large language models and diffusion models, for molecules and drug discovery applications.
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Posts by Seul Lee

Generative AI Sep 23, 2025

Reasoning Through Molecular Synthetic Pathways with Generative AI

A recurring challenge in molecular design, whether for pharmaceutical, chemical, or material applications, is creating synthesizable molecules. Synthesizability... 7 MIN READ
Generative AI Jan 13, 2025

Evaluating GenMol as a Generalist Foundation Model for Molecular Generation

Traditional computational drug discovery relies almost exclusively on highly task-specific computational models for hit identification and lead optimization.... 8 MIN READ