Jiadong
Lin

I develop computational tools and machine-learning models to reveal structural variation and connect genome structure with molecular and cellular states.

Structural variation Long-read sequencing Pangenomics Machine-learning models

What I study

Making the complex genome structure visible.

My work sits at the intersection of algorithm design, human genetics, long-read sequencing, and multi-omics. I build computational tools and machine-learning models that reveal how genome structure shapes molecular and cellular states.

01

Haplotype-resolved multi-omics

Machine-learning models for haplotype-resolved multi-omics.

02

Structure-conditioned functional models

Linking genome structure to molecular and cellular states.

03

Structural variant detection

Scalable detection of structural variants and robust detection under sparse and mixed data.

04

Disease genomes

Understanding the role of inherited complex variations in disease.

Recent & selected work

View all on Scholar
[1]
Cell · 2026

Human acrocentric chromosome short-arm de novo mutation and recombination

Lin J., Mastrorosa F. K., Noyes M. D., Yoo D., Rhie A., Porubsky D., … & Eichler E. E.*

[2]
medRxiv · 2026 · Under review

A high-resolution human pangenome structural variant resource for improved disease association

Lin J., Gustafson J. A., Wertz J., Sui Y., Yoo D., Porubsky D., Luo C., Wong I., Garimella K. V., … & Eichler E. E.*

[3]
Nature Methods · 2022

SVision: a deep learning approach to resolve complex structural variants

Lin J., Wang S., Audano P. A., Meng D., Flores J. I., Kosters W., Yang X., Jia P., Marschall T., Beck C. R., Ye K.*

[4]
Briefings in Bioinformatics · 2023

Comparison and benchmark of structural variants detected from long read and long read assembly

Lin J., Jia P., Wang S., Kosters W., Ye K.*

[5]
Genomics, Proteomics & Bioinformatics · 2022

Mako: A Graph-based Pattern Growth Approach to Detect Complex Structural Variants

Lin J., Yang X., Kosters W., Xu T., Jia Y., Wang S., Zhu Q., Ryan M., Guo L., Zhang C., Lee C., … & Ye K.*

[6]
Nature Communications · 2026

HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps

Xie R., Wang Z., Liu J., Xu H., Xu Y., Lin J.*, Hu Y.*, Gao L.*

[7]
Nature Biotechnology · 2024

De novo and somatic structural variant discovery with SVision-pro

Wang S., Lin J., Jia P., Xu T., Li X., Liu Y., Ye K.*

[8]
Nature Communications · 2026

Using the linear references from the pangenome to discover missing autism variants

Sui Y., Lin J., Noyes M. D., Kwon Y., Wong I., Koundinya N., … & Eichler E. E.*

Tools built for structural variants.

Research software and reproducible workflows for the genomics community.
View all GitHub repositories

Dual Ph.D.Xi'an Jiaotong University · Leiden University
Based inSeattle, Washington