Qiao Lab

Qiao Lab is positioned at the intersection of statistical methodology and biomedical applications, advancing analytical tools for high-dimensional data. 

Current research focuses on developing causal mediation methods for high-dimensional omics studies and Bayesian dynamic borrowing approaches to incorporate historical control data in clinical trials. 

Application areas include microbiome and epigenetic data analysis, as well as deconvolution methods for spatial transcriptomics, with the overarching goal of supporting cancer prevention and improving therapeutic strategies.

Sophie Huebler, Research Assistant

PhD student in Biostatistics

Her research focuses on advancing microbiome science in stem cell transplantation through the use of innovative Bayesian methods.