Yue Wang

Yue Wang

Assistant Professor of Biostatistics, CU Anschutz

Yue Wang (汪越)

  • I am currently an assistant professor in the Department of Biostatistics & Informatics and the Center for Innovative Design and Analysis at the University of Colorado Anschutz Medical Campus. I am also a member of the Colorado Center for Personalized Medicine.
  • I am a biostatistician focusing on developing dimension-reduction methods for analyzing multi-omics data to address important biomedical questions.
  • Prior to joining CU Anschutz, I was an assistant professor at Arizona State University. I worked as a post-doctoral fellow at the University of Washington with Prof. Ali Shojaie and at the Fred Hutchinson Cancer Center with Prof. Jing Ma. I also collaborate closely with Dr. Tim Randolph’s lab at Fred Hutch. I obtained my PhD in Biostatistics from the University of North Carolina at Chapel Hill.

Recent News

  • Sep, 2025. I am excited to start working on a new NIH R35 MIRA grant titled Robust Multivariate Methods for Analyzing Pathway Interactions and Pathway-Phenotype Associations in Bulk and Single-Cell RNA-seq Studies.
  • Sep, 2025. I just published a review paper in WIREs Computational Statistics on dimensionality reduction for structured biomedical data — check it out!
  • July, 2025. Our CoMMiT paper is online! CoMMiT is a novel within-cohort transfer-learning method designed to minimize negative transfer in microbiome studies. Check it out!
  • June, 2025. I received an NIH R03 award to study microbiome-metabolome interactions in IBD populations.
  • Apr, 2025. We propose microbial correlation to study microbial co-metabolism.
  • Jan, 2025. We have a new paper accepted by Statistica Sinica! RAPLS is an extension of partial least squares to generalized functional linear models.
  • Nov, 2024. We have a new paper accepted by Bioinformatics! This is joint work with Ph.D. student Ruoqian Liu and Prof. Dan Cheng from ASU. Micro-DeMix is the first method to investigate the spatial compositions of fecal microbiomes.
  • Aug, 2024. Our highcor paper is online!
  • July, 2024. We have a new paper accepted by Biostatistics! This is joint work with Ph.D. student Haoran Shi. Check out this preprint and our R package highcor.
  • Feb, 2024. We have proposed an integrative framework to elucidate microbiome-metabolome-disease pathways. Check out our preprint.
  • Jan, 2024. We have developed smoothing spline methods to model the temporal dynamics of single-cell RNA-seq data. Check out our preprint.

Talks

  • June, 2024. I gave a talk on pathway similarities at ICSA, Wuhan, 2024.
  • June, 2024. I gave a talk on pathway similarities at WNAR, Fort Collins, 2024.