Jun Chen

Jun Chen, Ph.D., is a Professor of Biostatistics in the Department of Quantitative Health Sciences at Mayo Clinic, Rochester, Minnesota. His research focuses on developing robust statistical methods for high-dimensional omics data, particularly microbiome and single-cell sequencing data, with applications in disease subtyping, biomarker discovery, and integrative genomics.

• Education:
  • Postdoctoral Fellowship in Biostatistics, Harvard School of Public Health
  • Ph.D. in Genomics and Computational Biology (Biostatistics emphasis), University of Pennsylvania
  • M.A. in Statistics, University of Pennsylvania
  • M.E. in Computer Science (Pattern Recognition and Machine Intelligence), Shanghai Jiao Tong University
  • M.D., Fudan University

Dr. Chen’s work addresses challenges in microbiome data (phylogeny-constrained, zero-inflated counts) through methods for association testing, subtype discovery, and predictive modeling. He also develops techniques for single-cell sequencing data, including clustering, differential abundance analysis, and multimodal integration, while incorporating biological priors and structural constraints.

His collaborative research spans diverse diseases, aiming to quantify microbiome contributions to pathogenicity and inform clinical decision-making via personalized microbiome profiling.

• Professional Highlights:
  • Associate Editor, Frontiers in Genetics (2021–present)
  • Associate Editor, Statistics in Biosciences (2021–present)
  • Bioinformatics Section Editor, PeerJ (2019–present)