Jiashun Xiao
Logo Sun Yat-sen University (https://sph.sysu.edu.cn/teacher/2896)

I am currently an associate professor at School of Public Health, Sun Yat-sen University. I earned my Bachelor's degree in Bioinformatics from Southern University of Science and Technology in 2017, followed by a PhD in Mathematics from the Hong Kong University of Science and Technology in 2022. My research interests encompass statistical genetics, bioinformatics, and the development of statistical and AI methods that leverage spatial transcriptomic and multi-omics data. I am particularly focused on advancing methodologies that enhance our understanding of complex biological systems through integrative data analysis.

I am actively recruiting Master and PhD students (Enrolled in Sep. 2027) who are passionate about these fields and wish to contribute to innovative research. If you are interested in collaborating or learning more about potential opportunities, please feel free to reach out.

Curriculum Vitae Curriculum Vitae (中文) Google Scholar GitHub
Education
  • The Hong Kong University of Science and Technology (HKUST)
    The Hong Kong University of Science and Technology (HKUST)
    Ph.D. in Mathematics
    Sep. 2018 - Aug. 2022
  • Southern University of Science and Technology (SUSTech)
    Southern University of Science and Technology (SUSTech)
    B.S. in Bioinformatics
    Sep. 2013 - Jul. 2017
Experience
  • Sun Yat-sen University
    Sun Yat-sen University
    Associate professor
    Aug. 2025 - present
  • Shenzhen Research Institute of Big Data
    Shenzhen Research Institute of Big Data
    Research Scientist
    Sep. 2022 - May 2025
  • WeGene
    WeGene
    Bioinformatics Engineer
    Aug. 2017 - Sep. 2018
Funding
  • Sun Yat-sen University Startup Grant (中山大学科研启动经费), Principal Investigator
    2026-2028
  • Young Scientists Fund of the National Natural Science Foundation of China (国自然青年项目), Principal Investigator
    2025-2027
  • Guangdong Natural Science Foundation General Project (广东省面上项目), Principal Investigator
    2025-2027
  • Shenzhen Science and Technology Innovation Program (深圳市人才培养项目), Principal Investigator
    2024-2026
  • Shenzhen Research Institute of Big Data Internal Project (深圳市大数据研究院内部项目), Principal Investigator
    2023-2024
Selected Publications (view all )
NicheScope: Identifying Multicellular Niches and Niche-Regulated Cell States in Spatial Transcriptomics
NicheScope: Identifying Multicellular Niches and Niche-Regulated Cell States in Spatial Transcriptomics

Xinyi Yu, Xiaomeng Wan, Leqi Tian, Yuheng Chen, Yuyao Liu, Tianwei Yu*, Can Yang*, Jiashun Xiao* (* corresponding author)

Nature Cell Biology (In revision) 2026

[Paper] [Code]

NicheScope: Identifying Multicellular Niches and Niche-Regulated Cell States in Spatial Transcriptomics

Xinyi Yu, Xiaomeng Wan, Leqi Tian, Yuheng Chen, Yuyao Liu, Tianwei Yu*, Can Yang*, Jiashun Xiao* (* corresponding author)

Nature Cell Biology (In revision) 2026

[Paper] [Code]

CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics
CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics

Yuheng Chen, Yuyao Liu, Zhiwei Wang, Yeqin Zeng, Zitong Chao, Peiqi Jiang, Hao Chen, Jiguang Wang, Jiashun Xiao*, Can Yang* (* corresponding author)

Nature Computational Science (In revision) 2026

[Code]

CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics

Yuheng Chen, Yuyao Liu, Zhiwei Wang, Yeqin Zeng, Zitong Chao, Peiqi Jiang, Hao Chen, Jiguang Wang, Jiashun Xiao*, Can Yang* (* corresponding author)

Nature Computational Science (In revision) 2026

[Code]

A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq data
A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq data

Xinyi Yu, Xianghong Hu, Xiaomeng Wan, Zhiyong Zhang, Xiang Wan, Mingxuan Cai, Tianwei Yu*, Jiashun Xiao* (* corresponding author)

The American Journal of Human Genetics 2025

[Paper] [Code]

A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq data

Xinyi Yu, Xianghong Hu, Xiaomeng Wan, Zhiyong Zhang, Xiang Wan, Mingxuan Cai, Tianwei Yu*, Jiashun Xiao* (* corresponding author)

The American Journal of Human Genetics 2025

[Paper] [Code]

UCS: A Unified Approach to Cell Segmentation for Subcellular Spatial Transcriptomics
UCS: A Unified Approach to Cell Segmentation for Subcellular Spatial Transcriptomics

Yuheng Chen, Xin Xu, Xiaomeng Wan, Jiashun Xiao*, Can Yang* (* corresponding author)

Small Methods 2025

[Paper] [Code]

UCS: A Unified Approach to Cell Segmentation for Subcellular Spatial Transcriptomics

Yuheng Chen, Xin Xu, Xiaomeng Wan, Jiashun Xiao*, Can Yang* (* corresponding author)

Small Methods 2025

[Paper] [Code]

A Robust Statistical Approach for Finding Informative Spatially Associated Pathways
A Robust Statistical Approach for Finding Informative Spatially Associated Pathways

Leqi Tian, Jiashun Xiao*, Tianwei Yu* (* corresponding author)

Briefings in Bioinformatics 2024

[Paper] [Code]

A Robust Statistical Approach for Finding Informative Spatially Associated Pathways

Leqi Tian, Jiashun Xiao*, Tianwei Yu* (* corresponding author)

Briefings in Bioinformatics 2024

[Paper] [Code]

Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

Xiaomeng Wan#, Jiashun Xiao#, Sindy Sing Ting Tam, Mingxuan Cai, Ryohichi Sugimura, Yang Wang, Xiang Wan, Zhixiang Lin, Angela Ruohao Wu, Can Yang* (# equal contribution, * corresponding author)

Nature Communications 2023

[Paper] [Code]

Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

Xiaomeng Wan#, Jiashun Xiao#, Sindy Sing Ting Tam, Mingxuan Cai, Ryohichi Sugimura, Yang Wang, Xiang Wan, Zhixiang Lin, Angela Ruohao Wu, Can Yang* (# equal contribution, * corresponding author)

Nature Communications 2023

[Paper] [Code]

Leveraging the local genetic structure for trans-ancestry association mapping
Leveraging the local genetic structure for trans-ancestry association mapping

Jiashun Xiao#, Mingxuan Cai#, Xinyi Yu, Xianghong Hu, Gang Chen, Xiang Wan, Can Yang* (# equal contribution, * corresponding author)

The American Journal of Human Genetics 2022

[Paper] [Code]

Leveraging the local genetic structure for trans-ancestry association mapping

Jiashun Xiao#, Mingxuan Cai#, Xinyi Yu, Xianghong Hu, Gang Chen, Xiang Wan, Can Yang* (# equal contribution, * corresponding author)

The American Journal of Human Genetics 2022

[Paper] [Code]

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis

Jiashun Xiao#, Mingxuan Cai#, Xianghong Hu, Xiang Wan, Gang Chen, Can Yang* (# equal contribution, * corresponding author)

Bioinformatics 2022

[Paper] [Code]

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis

Jiashun Xiao#, Mingxuan Cai#, Xianghong Hu, Xiang Wan, Gang Chen, Can Yang* (# equal contribution, * corresponding author)

Bioinformatics 2022

[Paper] [Code]

A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits

Mingxuan Cai#, Jiashun Xiao#, Shunkang Zhang#, Xiang Wan, Hongyu Zhao, Gang Chen, Can Yang* (# equal contribution, * corresponding author)

The American Journal of Human Genetics 2021

[Paper] [Code]

A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits

Mingxuan Cai#, Jiashun Xiao#, Shunkang Zhang#, Xiang Wan, Hongyu Zhao, Gang Chen, Can Yang* (# equal contribution, * corresponding author)

The American Journal of Human Genetics 2021

[Paper] [Code]

All publications