The Laboratory of AI Genome Informatics (AI GENi) upholds the vision of “unveiling the mysteries of life through the power of AI.” Harnessing high-performance computing systems, we engage in research and development in bioinformatics, focusing on genome and epigenome analysis, gene function interpretation, and elucidation of disease mechanisms. In particular, by applying AI technologies such as natural language processing, we aim to decipher the “biological language” encoded in genomes, contributing to next-generation life science and healthcare.

AI GENi is developing versatile computational methods capable of addressing diverse challenges in the life sciences. Building on computational algorithms and database construction that enable integrative analysis of multi-omics and multimodal data, we conduct advanced AI-driven analysis and visualization of large-scale genome-related datasets. Through collaborative research across various fields, including experimental biology and medicine, we actively engage in practical genome informatics.

AI GENi, started in October 2025, is a newly founded group. We have previously pursued data-driven bioinformatics research utilizing supercomputer systems. In particular, through the analysis of large-scale next-generation sequencing data, we have contributed to genome and epigenome research in fields such as embryogenesis, stem cell biology, cancer genomics, and regenerative medicine. Recently, we developed novel AI models for spatiotemporal single-cell analysis and spatial transcriptomics and have conducted integrative multimodal analyses incorporating higher-order chromatin dynamics. Building on these achievements, we continue to advance research aimed at decoding the “biological language” that governs living systems.

Research Achievements

• Sung-Joon Park’s activities

Related Information

• Bluesky