We study extrachromosomal DNA, tumor evolution and intratumoral heterogeneity through large-scale computational and statistical analysis of cancer genomes.
A new review by Boyoon Kim, published in Signal Transduction and Targeted Therapy, exploring the mechanics, functions, and therapeutic implications of ecDNA.
Co-authored by Eunchae, published in Experimental & Molecular Medicine — novel insight into ecDNA dynamics via single-cell analysis.
Honored with the Grand Prize (대상) at the 1st Graduate Research Achievement Competition+ for her outstanding research contribution.
Selected for the Doctoral Excellence Scholarship in Science and Engineering from the Korea Student Aid Foundation.
Our first lab member to present at the AACR Annual Meeting, San Diego, drawing strong interest from academia and industry.
The Global-TA award supported her participation and presentation at AACR 2026.
Co-first authored by Jiwon Shon, published in Theranostics — a 3D hydrogel platform that preserves ecDNA structures.
Selected for the NVIDIA Academic Grant Program with Prof. Se-Young Chun (SNU) — 32,000 A100 GPU-hours awarded.
Published in Science — identifying glial progenitor cells as the cell of origin in IDH-mutant gliomas.
Funds her PhD research into how ecDNA interacts with micronuclei as tumors acquire chemotherapy resistance.
Supports her single-cell multi-omics study of ecDNA in glioblastoma.
Presented our longitudinal characterization of ecDNA amplifications in adult glioma at the 24th International Conference on Brain Tumor Research and Therapy.
Fifteen of us, working across bioinformatics, wet-lab biology, and computation. Click any name to visit their profile.
A major cause of cancer treatment failure is the development of therapy resistance in tumors, which evolve by accumulating tumor-promoting mutations and modified chromosome structures. Our lab addresses this through computational and statistical analysis of large-scale biomolecular data — centered on extrachromosomal DNA (ecDNA), work spanning long- and short-read sequencing, single-cell and spatial multiomics, FISH validation, and structural variant analysis, alongside collaborators across cancer biology, epigenetics, structural biology, bioimaging, and tumor microenvironment research.
Our most comprehensive synthesis to date on ecDNA's mechanical properties, biological functions, and therapeutic angles — building on our pan-cancer survey finding circular ecDNA in over 25 of 29 cancer types and our latest single-cell tracking of ecDNA inheritance.
Read more →
From non-chromosomal ecDNA amplification driving intratumor heterogeneity to tracing IDH-mutant glioma back to the glial progenitor cells that first carry the driver mutation — with the GLASS consortium we co-founded.
Read more →
Mapping ecDNA in gastric and breast cancer and Barrett's esophagus, and building tailorable 3D collagen hydrogel platforms that better preserve ecDNA structures for long-term study.
Read more →
We co-developed AmpliconSuite, an end-to-end workflow now used broadly across the field for detecting and reconstructing focal amplifications — including ecDNA — from sequencing data.
Read more →
Breast cancer subtypes follow very different paths after chemotherapy given before surgery, leaving behind distinct patterns of residual disease — a step toward subtype-specific follow-up treatment.

The first pan-cancer map of ecDNA amplification, showing these circular DNA structures are far more common than once thought — and that they predict worse outcomes as tumors advance.

Extends ecDNA's reach beyond the cancers we usually study, showing it also drives the earliest steps of Barrett's esophagus turning cancerous.
Also on Google Scholar and ORCID.
Interested in joining us? Reach out with your CV and a line about what draws you to computational cancer genomics — we'd love to hear from you.
Email the labCollaborators & support