Minge Xie

Minge Xie is a Distinguished Professor and Director of the Office of Statistical Consulting at Rutgers, The State University of New Jersey. His research focuses on foundational aspects of statistical inference, data science, and interdisciplinary applications. He serves as a leader in the field of statistics, contributing to methodologies in meta-analysis, reproducibility, and computational inference.

• Education: Ph.D. from the University of Illinois at Urbana-Champaign

Xie’s research spans statistical theory, computational methods, and practical applications in data science. He has pioneered approaches in confidence distributions, fusion learning, and high-dimensional modeling, with notable work on zero-inflated data, conformal prediction, and reproducibility frameworks.

His recent publications emphasize the integration of Bayesian, frequentist, and fiducial paradigms, advancements in meta-analysis for rare events, and scalable methods for big data analysis. Xie’s work bridges theoretical rigor with real-world applications, including microbiome studies, nuclear detection, and maritime threat modeling.

• Scientific Awards:
  • ASA Fellow
  • IMS Fellow
  • ISI Fellow

Xie actively contributes to statistical education and interdisciplinary collaboration, leading the Office of Statistical Consulting at Rutgers. His methodological innovations continue to influence fields requiring robust and interpretable statistical inference.