Seoul National University · School of Dentistry

Decoding Life
at Genomic Scale

A pioneering research group at the intersection of Artificial Intelligence, Bioinformatics, and Multi-Omics — illuminating the molecular hallmarks of aging and cancer.

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scRNA-seq Spatial Transcriptomics AI / Deep Learning Aging Cancer Genomics
"

What I cannot create, I do not understand.

— Richard P. Feynman
"

Aging is not the last chapter, but an incredibly special time unlike any other.

— Arnold J. Toynbee
8+Collaborating Institutions
IF 24.9Top Journal Publication
20+Omics Researches
12Lab Members
Our Team

Meet the Research Leaders

Two principal investigators with complementary expertise in molecular genetics and biomedical informatics — united by a passion for decoding life at genomic scale.

Prof. Woo-Jin Kim
NGS Experiment
Prof. Woo-Jin Kim

Ph.D. Molecular Genetics & D.M.D., SNU · Former Postdoc, Harvard Medical School · Epigenetics & Skeletal Biology

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Prof. Ki-Tae Kim
NGS Analysis
Prof. Ki-Tae Kim

Ph.D. Biomedical Informatics, SNU · Multi-Omics, Deep Learning & AI-driven genomics for cancer and aging

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Research
Projects
Our Research Projects

Spanning DNA, RNA, and Epigenome sequencing with single-cell resolution — powered by novel AI pipelines.

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Research Scope

Total Omics Analysis

From single-cell resolution to population-scale genomics — spanning the full spectrum of next-generation sequencing methodologies.

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Single-Cell NGS

scRNA-seq, scATAC-seq, Spatial Transcriptomics — resolving cellular heterogeneity in cancer and aging at unprecedented resolution.

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Bulk Sequencing

WGS, WXS, Target Panel, Bulk RNA-seq — uncovering population-level genomic landscapes across diverse disease contexts.

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Epigenomics

ATAC-seq, ChIP-seq, Hi-C — mapping chromatin accessibility and 3D genome architecture to regulatory gene programs.

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AI & Deep Learning

GPU-accelerated machine learning and novel methodology development for clinical prediction and biomarker discovery.

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Collaboration & Inquiries

Let's Build
Science Together

We welcome collaborations with clinicians, experimental scientists, and computational researchers worldwide.

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