XIAO, Jiashun
POSITION/TITLE
SRIBD, Medical Big Data Lab, Research Scientist
RESEARCH FIELD
Bioinformatics, Genome-wide association analysis (GWAS), statistical and machine learning methods for spatial transcriptome and multi-omics data
xiaojiashun@sribd.cn
EDUCATION BACKGROUND
Ph.D. in Mathematics, Hong Kong University of Science and Technology, 2018-2022
B.S. in Bioinformatics, Southern University of Science and Technology, 2013-2017
BIOGRAPHY
Dr. Xiao Jiashun is currently a research scientist in the Medical Big Data Laboratory of Shenzhen Institute of Big Data Research. He received a Ph.D. in Mathematics from Hong Kong University of Science and Technology in 2022, and a Bachelor's degree in Bioinformatics from Southern University of Science and Technology in 2017. He joined WeGene as a bioinformatics engineer from 207 to 2018. His research aims to develop statistical and machine learning methods for multi-omics data, including trans-ancestry association mapping, polygenic prediction with large-scale genetic data, and integrative analysis of single-cell and spatial transcriptomics data, etc. He has published several papers in international academic journals (AJHG, Bioinformatics, etc.) as the first or co-first author.
ACADEMIC PUBLICATIONS
Xiao, J.#, Cai, M.#, Yu, X., Hu, X., Chen, G., Wan, X., & Yang, C. (2022). Leveraging the local genetic structure for trans-ancestry association mapping. The American Journal of Human Genetics, 109(7), 1317-1337.
Xiao, J.#, Cai, M.#, Hu, X., Wan, X., Chen, G., & Yang, C. (2022). XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinformatics, 38(7), 1947-1955.
Cai, M#., Xiao, J#., Zhang, S#., Wan, X., Zhao, H., Chen, G., & Yang, C. (2021). A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. The American Journal of Human Genetics, 108(4), 632-655.
Yu X., Xiao J., Cai M., Jiao Y., Wan X., Liu J., Yang C. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics, 39(2).
Yiming Chao, Yang Xiang, Jiashun Xiao, et al. (2023). Organoid-based single-cell spatiotemporal gene expression landscape of human embryonic development and hematopoiesis. Signal Transduction and Targeted Therapy, Under minor revision.
# co-first author
