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 statistical/computational methods for integrating multi-omics data to address important biomedical questions. Current projects mainly involve multi-view human microbiome data.
  • 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

  • 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.
  • Dec, 2023. Fecal specimens are frequently used as proxies for gut microbiota, which is heterogeneous along the gastrointestinal (GI) tract. In our new preprint, we developed a mixture model to investigate the compositions of fecal microbiomes.
  • May, 2023. Check our new paper about the use of microbial finger print in crime scenes!

Talks

  • July, 2023. I gave a talk on microbiome-metabolome interaction at ICSA, Chengdu, 2023.
  • Jun, 2023. I gave a talk on microbiome-metabolome interaction at WNAR, Anchorage, 2023.
  • Jun, 2023. I gave a talk on microbiome-metabolome interaction at ICSA, Ann Arbor, 2023.
  • Apr, 2023. I will give a talk on microbiome-metabolome interaction at the Department of Mathematics and Statistics, Texas Tech University.
  • Mar, 2023. I will give a talk on microbiome-metabolome interaction at the Department of Statistics, University of Kentucky.