KAIST · Graduate School of Medical Science & Engineering

Same DNA. Different fate. How the genome folds in 3D decides which genes switch on — and what happens when that folding goes wrong.

We are the Kim Lab for 3D Genome and Disease Mechanisms. We map how two meters of DNA fold inside a single nucleus, and how that architecture drives cell identity, development, and disease.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr 2 m OF DNA WRAPS INTO NUCLEOSOMES FOLDS INTO LOOPS & DOMAINS = CONTACT MAP
linear DNA → nucleosomes → folded loops & domains → the Hi-C map we read
chromatin capture 3D contact maps  ·  CTCF / cohesin loop extrusion  ·  epigenetics regulatory networks  ·  cancer genome instability  ·  DNA damage repair & folding  ·  genome engineering reshaping folds  · 
The big idea

Two meters of DNA, folded into a space 1,000× smaller than a grain of sand.

Every cell in your body carries the same genome — yet a neuron, a T cell, and a tumor cell behave nothing alike. A major reason is how the DNA is folded. That 3D architecture decides which genes meet their switches. We study the rules of that folding, and what breaks when disease takes hold.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr
01 / FOLD

The genome folds into loops & domains

Structural proteins like CTCF and cohesin pull DNA into loops and neighborhoods (TADs), bringing distant genes and their regulators into contact.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr
02 / READ

We map it with chromatin-capture sequencing

Cutting-edge molecular tools plus next-generation sequencing turn invisible 3D contacts into high-resolution maps (Hi-C) we can read, compare, and model.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr
03 / REWRITE

And we learn to engineer it

By reshaping folds on purpose, we test cause and effect — and look for ways to steer gene expression and cell identity toward health.

Disease mechanism

When the fold breaks, genes misfire.

This is the heart of what we study. A genome can carry no new mutation in a gene itself — yet still drive disease, simply because the 3D fold around that gene has changed. Here is the chain we trace, step by step.

Healthy fold
Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr enhancer gene ✓

A loop keeps each gene paired with the right regulatory switch. The cell behaves normally.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr insult: mutation, instability, infection
Disrupted fold
Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr wrong enhancer gene ✕

A broken boundary lets the wrong switch hijack the gene — turning it on or off at the wrong time.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr misregulated genes
Disease
Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr healthy disease

With its genes misfiring, the cell loses its identity — the root of cancer and other disease.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr

Folding errors are linked to many diseases — cancer, leukemia, medulloblastoma, schizophrenia, fragile X syndrome, immune dysregulation and metabolic disease. Because the fold — not always the gene — is what's broken, it may also be reversible. That possibility is what drives our lab.

Research projects

What we are working on right now

Three active directions, from disease mechanism to engineering the genome itself.

01

Unstable genomes in cancer

Infection, nuclear stress, and other insults reshape the genome — SNPs, copy-number changes, structural variants — that drive cancer. We build 3D folding maps of cancer samples with unstable genomes to uncover the mechanisms behind these changes and their clinical meaning.

cancergenome instability3D contact mapsepigenetic landscape
● active
02

DNA damage, repair, and the broken fold

Every day our DNA is broken and repaired — never on bare DNA, but on DNA folded into a 3D structure. How that fold reorganizes around a break, and whether it helps or hinders faithful repair, is poorly understood, yet errors here are a root cause of cancer. We map how folding shifts at damage sites and ask what happens when repair goes wrong.

cancerDNA damage & repairgenome stability
● active
03

Engineering 3D genome folding

The genome is organized in a hierarchy — loops, TADs, compartments, chromosomes. How domains form, and how loops cause changes in transcription, is still elusive. We are building new technology to reshape folding domains on demand and test their function at target genes.

genome engineeringloop extrusionsynthetic tools
● active
How we work

One question, two hands.

Real progress on the 3D genome needs the bench and the keyboard talking to each other. You can join from either side — and grow into both.

Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr
WET LAB

Build & perturb

  • Molecular biology, genomics, genome engineering
  • Cell biology and disease-model systems
  • Designing tools to reshape genome folding
Kim LabKim Lab, KAIST — jihunkim.kaist.ac.kr
DRY LAB

Map & model

  • Python-based analysis of high-resolution folding data
  • Finding biologically meaningful patterns in 3D folding (Hi-C) data
  • Integrating epigenetic and transcription data
Lab introduction

Hear it directly — a short tour of what we study.

A 6-minute walkthrough of the lab's core ideas — how 3D genome folding shapes gene expression, how it goes wrong in disease, and what we're building to read and rewrite it.

Principal investigator

Ji Hun Kim, Ph.D.

Trained across four countries and the pharma industry — from chromosome biology in Melbourne, through Bill Earnshaw's lab in Edinburgh, to Charles Lee's lab at the Jackson Laboratory and Jennifer Phillips-Cremins' genome-folding lab at Penn, then GlaxoSmithKline, now building a lab at KAIST.

Cell 2023Nature Methods 2019Nature Communications 2013
Full PI profile →
Ji Hun Kim
Assistant Professor · GSMSE, KAIST
2022–KAIST — Assistant Professor, Medical Science & Engineering 🇰🇷 Korea
2020–22GlaxoSmithKline — Investigator 🇺🇸 USA
2016–19Univ. of Pennsylvania — Postdoc, Jennifer Phillips-Cremins Lab 🇺🇸 USA
2014–16Jackson Laboratory — Postdoc, Charles Lee Lab 🇺🇸 USA
2010Wellcome Trust Centre for Cell Biology — Visiting scientist, Bill Earnshaw Lab, Edinburgh 🇬🇧 UK
2009–14Univ. of Melbourne — Ph.D., chromosome biology (Hudson, Kalitsis & Choo) 🇦🇺 Australia
Why join now

A young lab, an open field, and your name on the early papers.

The 3D genome is one of biology's newest frontiers — most of its rules are still unwritten. We are early enough that the questions are wide open, and small enough that what you do actually matters. This is a rare window.

01

You won't be a pair of hands

In a growing lab, you own a real question — not a fragment of someone else's. You'll design experiments, hit walls, and find your way through.

02

You'll speak both languages

Come in from the bench or the keyboard — and leave fluent in both. Wet-lab biologists learn to read genome-folding data; computational students learn what the cells are actually doing. That combination is rare and sought-after.

03

You'll train at world level, in Korea

The PI brings the playbook from Melbourne, Charles Lee's lab at the Jackson Laboratory, and Jennifer Phillips-Cremins' lab at Penn — to a lab embedded in KAIST's medical-science ecosystem.

04

You'll build something new

We engineer genome folding that didn't exist before, and chase disease mechanisms no one has mapped. The frontier is unclaimed — and the early members help define what this lab becomes.

Most of our members arrive having never touched the 3D genome. We don't expect a finished scientist — we expect curiosity, persistence, and the nerve to sit with a hard problem. The rest, we build together.

Join us

We are actively hiring — from every discipline.

Medicine, biology, bioengineering, computer science. If the 3D genome makes you curious, we want to hear from you.

Graduate students

Self-motivated students across all disciplines. The starting point for a Ph.D. in 3D genome biology.

Postdocs

Highly motivated researchers ready to lead a project. Reach out with your CV and interests.

Research scientists & technicians

Molecular biology, genomics, genome engineering, and cell biology wet-lab roles.

Computational analysts

Strong Python experience and a hunger to find biological meaning in genome-folding data.