Jialin Zhang

Jialin Zhang is an Assistant Professor of Statistics at Mississippi State University. He received his Ph.D. in Statistics from the University of North Carolina at Charlotte in 2019. His research focuses on entropic statistics, including nonparametric estimation of entropy, mutual information, tail probabilities, and biodiversity indices, with applications in machine learning and data science.

His work addresses high-dimensional and non-ordinal data challenges using information-theoretic frameworks, developing tools like R packages for tail classification and entropic statistics. Research emphasizes theoretical foundations and practical implementations in computational biology and healthcare analytics.