Summary
Xing Qiu is a professor, statistician, and computational biologist with 14 years of faculty experience developing statistical and computational methods for high-throughput biological data such as gene expression, microbiome, proteomics, and medical imaging. Trained as a mathematician (PhD, University of Rochester), he bridges rigorous theory and practical bioinformatics, using R extensively for preprocessing and analysis. His work spans multiple testing, functional data and network analysis, and gene set enrichment, and he has led core bioinformatics units for NIH centers and served as PI on multiple NIH-funded projects. Less obvious: he has translated stochastic PDE modeling expertise into imaging collaborations—coauthoring seven papers on diffusion tensor imaging—demonstrating a rare combination of deep mathematical foundations and hands-on biomedical collaboration.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Rochester
English, Chinese