Lan Zhou

Lan Zhou is an Associate Professor in the Department of Statistics at Texas A&M University, within the College of Arts & Sciences. His research focuses on statistical methodology with applications in bioinformatics, nutrition, epidemiology, and functional/longitudinal data analysis. He specializes in developing advanced analytical techniques for complex datasets, including machine learning approaches for environmental chemical toxicity assessment and high-dimensional biological data modeling.

Dr. Zhou's work bridges statistical theory and practical applications, with a particular emphasis on addressing challenges in environmental health, veterinary science, and biomedical research. He has contributed to pathogen detection in ixodid ticks, dietary supplementation studies in livestock, and computational platforms for environmental data integration.

His recent publications highlight trends in applying machine learning and functional data analysis to solve real-world problems such as estrogen receptor activity prediction, chemical substance classification, and antimicrobial efficacy modeling. These studies demonstrate his commitment to advancing interdisciplinary research at the intersection of statistics, biology, and environmental science.

Dr. Zhou currently holds no explicitly listed scientific awards, grants, or advisees in the provided materials. His office is located in Blocker 405D, and he can be reached at lzhou@stat.tamu.edu.