Decoding Biology Through Data & AI

We apply AI to large-scale biomedical data, turning complex datasets into biological and clinical insight.

About Our Lab

The Computational Omics Laboratory at Pusan National University analyzes large-scale biomedical data using machine learning and probabilistic methods. We work across spatial omics, single-cell omics, and CRISPR informatics — and we use AI as a daily research tool — to turn complex datasets into biological and clinical insight.

Meet the team
49
Publications
8
Lab Members
2022
Established
10+
Open-Source Tools

News

2026

In KOBRA Reports 2026, we reported on a joint symposium sharing recent advances and research directions in single-cell and spatial omics in Korea.

2026

In this 2026 preprint co-authored by Sohui Kim and Yuhui Jeong, we present a human lung organoid-on-a-chip model that mimics SARS-CoV-2 infection at an air-liquid interface.

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2025

In Cancer Research and Treatment: Official Journal of Korean Cancer Association in 2025, we examined how patients’ liver function before treatment is linked to patterns of liver toxicity after immune checkpoint inhibitor therapy, in a paper co-authored by Sohui Kim.

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2026

In bioRxiv in 2026, we presented a way to create bioinformatics pipelines from natural-language prompts so they are easier to reproduce and share, led by Hyeonmin Kim and Abyot Melkamu Mekonnen.

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Recent Publications

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2026

Single Cell and Spatial Omics Korea (SCSOK)-Institute for Basic Science (IBS) Joint Symposium

Jeongbin Park, Junil Kim, Heetak Lee

KOBRA Reports 2(2):21

Join our lab

Interested in biomedical informatics? We welcome self-motivated students from diverse backgrounds. Apply now.

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Computational Omics Laboratory Pusan National University

Location

Room 411, Kyung-Ahm Engineering Bldg., Busandaehak-ro 49, Yangsan-si, Gyeongsangnam-do, 50612, Republic of Korea
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