Published numerous high-impact papers in journals such as Nature Communications and iScience; developed innovative AI tools like TRESOR (target prediction AI); received various academic awards, including the Student Excellent Presentation Award from the Japanese Pharmacological Society and the APPW2025 Young Investigator Award.
Research Experience
Leads multiple research projects, including AI for predicting drug targets based on omics data, AI for designing multi-target compounds, and generative AI for compound structure design using gene expression profiles.
Background
Conducts research in the analysis of big data in medicine, pharmacy, and life sciences, including bioinformatics and chemoinformatics. Focused on AI-driven drug discovery (AI drug discovery), precision medicine, regenerative medicine, and preventive medicine.
Miscellany
Actively participates in various academic conferences and seminars, and holds important positions in international organizations, such as ISCB Board of Directors and JSBi President.