Xianyang Zhang

Xianyang Zhang is a Professor in the Department of Statistics at Texas A&M University, affiliated with the College of Arts & Sciences. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2013) and a B.S. from the University of Science & Technology of China (2008). His research focuses on high-dimensional statistics, functional data analysis, kernel methods, and genomics, supported by grants from NIH, NSF, and Texas A&M.

Education:

• Ph.D., Statistics, University of Illinois at Urbana-Champaign, 2013
• B.S., Statistics, University of Science & Technology of China, 2008

Research Interests:

Xianyang Zhang develops statistical theories and methodologies for complex data structures, including high-dimensional inference, kernel-based testing, change-point detection, and microbiome analysis. His work bridges computational and theoretical statistics, addressing challenges in genomics, omics-wide studies, and spatial statistics.

Key Contributions:

• Developed KDist, a package for kernel and distance-based statistical inference
• Authored fastcpd for efficient change-point detection
• Advanced covariate-adaptive FDR control methods for omics studies
• Contributed to microbiome analysis tools like MicrobiomeStat and LinDA

Advising & Grants:

• Advises multiple Ph.D. students in statistics and interdisciplinary projects
• Recipient of NIH and NSF grants for high-dimensional statistical research
• Collaborates with institutions like Mayo Clinic and Chinese University of Hong Kong

Labs/Teams: Leads research groups focused on statistical methodology development, software implementation, and applications in computational biology and genomics.