Research Interests

Agentic AI system for science and engineering

To develop agentic AI systems for scientific research and industrial applications.

Representative works: ProteinMCP, and CycPepMCP.

Protein design with artificial intelligence

To develop new methods and tools for protein design, including the design of enzymes and transporters.

Representative works: AB-Gen, AlphaVariant, DGC-libgen, Fast-Boltz2, AggNet.

Drug design with artificial intelligence

To develop new methods and tools for drug design and development, including the design of small molecules, antibodies, and peptides.

Representative works: AB-Gen, HELM-GPT, SGPT-RL.

Nanopore-based sequencing method development

To develop new methods and tools for nanopore sequencing, with practical applications.

Status: under development.

Fundamental algorithm development

To develop methods and tools related to deep learning, reinforcement learning, graph mining, and related areas.

Representative works: AB-Gen, HELM-GPT.