Yuchao Jiang, PhD
Dr Jiang’s primary research interests lie in statistical modeling, method development and data analysis in genetics and genomics. His current research is focused on developing statistical methods and computational algorithms to better utilize and analyze different types of next-generation sequencing data under various setting, with application to data from large-scale cohort studies of human health and disease.
SCALE: modeling allele-specific gene expression by single-cell RNA sequencing. Jiang Y, Zhang NR, Li M. (2017). Genome Biology, 18(1), 74.
Assessing tumor heterogeneity and tracking longitudinal and spatial clonal evolution by next-generation sequencing. Jiang Y, Qiu Y, Minn AJ, Zhang NR. (2016). Proceedings of the National Academy of Sciences, 113(37), E5528-E5537.
CODEX: a normalization and copy number variation detection method for whole exome sequencing. Jiang Y, Oldridge DA, Diskin SJ, Zhang NR (2015). Nucleic Acids Research, 43(6), e39-e39.
PhD, Genomics and Computational Biology, University of Pennsylvania, Perelman School of Medicine, 2017
MA, Statistics, University of Pennsylvania, The Wharton School, 2014
BS, Computational Biology, Cornell University, 2012