profile picture of Yuchao Jiang
  • Associate Professor (Joint Appointment, Statistics)
Research Areas
  • Biological Timing

Biography

Joined the Department in 2022

Research Interests

The Jiang Lab’s primary research interests lie in statistical modeling and method development in genetics and genomics, with application to data from large-scale cohort studies of human health and disease. We collaborate with biologists and clinicians to address statistical and computational challenges presented by new cutting-edge technologies and provide data-driven statistical methods to biomedical researchers for better data analysis and experimental design. Our particular focus is on detecting structural variants, assessing intratumor heterogeneity, interrogating genome-wide DNA damage and repair, and deciphering cellular heterogeneity by single-cell omics approaches. Our research is currently supported by R35 GM138342 from the National Institute of General Medical Sciences.

Educational Background

  • B.Sc., Biological Sciences, Cornell University. 2012
  • M.Sc., Statistics, The Wharton School. 2014
  • Ph.D., Genomics and Computational Biology, University of Pennsylvania. 2017
  • Co-Director, Center for Statistical Bioinformatics

Selected Publications

    1. Kose C, Lindsey-Boltz LA, Sancar A, Jiang Y. Whole-genome analysis of transcription-coupled repair reveals novel transcription events in Caenorhabditis elegans. PLOS Genetics, 20 (7), e1011365, 2024.
    2. Jiang Y, Harigaya Y, Zhang Z, Zhang H, Zang C, Zhang NR. Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions. Cell Systems, 13 (9), 737-751, 2022.
    3. Wang R, Lin D, Jiang Y. EPIC: inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing. PLOS Genetics, 18 (6), e1010251, 2022.
    4. Dong M, Thennavan A, Urrutia E, Li Y, Perou CM, Zou F, Jiang Y. SCDC: bulk gene expression deconvolution by single-cell RNA sequencing. Briefings in Bioinformatics, 22 (1), 416-427, 2021
    5. Wang R, Lin D, Jiang Y. SCOPE: a normalization and copy number estimation method for single-cell DNA sequencing. Cell Systems, 10 (5), 445-452, 2020.
    6. Yimit A, Adebali O, Sancar A, Jiang Y. Differential damage and repair of DNA-adducts induced by anti-cancer drug cisplatin across mouse organs. Nature Communications, 10 (1), 309, 2019.
    7. Urrutia E, Chen L, Zhou H, Jiang Y. Destin: toolkit for single-cell analysis of chromatin accessibility. Bioinformatics, 35 (19), 3818-3820, 2019.
    8. Jiang Y, Wang R, Urrutia E, Anastopoulos IN, Nathanson KL, Zhang NR. CODEX2: full-spectrum copy number variation detection by high-throughput DNA sequencing. Genome Biology, 19 (1), 202, 2018.
    9. Jiang Y, Zhang NR, Li M. SCALE: modeling allele-specific expression by single-cell RNA-sequencing. Genome Biology, 18 (1), 74, 2017.
    10. Jiang Y, Qiu Y, Minn AJ, Zhang NR. Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolution by next-generation sequencing. Proceedings of the National Academy of Sciences, 113 (37), E5528-E5537, 2016.