Peng Zhao

Dr. Peng Zhao is well-respected in the field of statistics, serving as an Assistant Professor in the Department of Applied Economics and Statistics at the University of Delaware. With a strong academic foundation, he earned his Ph.D. in Statistics from Florida State University in 2020, following his B.S. in Statistics from the Beijing Institute of Technology in 2015. Dr. Zhao's research is at the forefront of statistical science, focusing on high-dimensional statistics, statistical network models, multivariate statistics, scalable Bayesian inference, and nonparametric Bayesian statistics. In addition to his research, Dr. Zhao is dedicated to teaching and mentoring the next generation of statisticians. He teaches courses in regression analysis and mathematical statistics, where he integrates his research insights into the curriculum, providing students with a comprehensive understanding of both theoretical and practical aspects of statistics. Dr. Zhao's work in Bayesian inference and high-dimensional statistics has contributed significantly to the field, offering new methodologies and insights that address complex data challenges. His research on statistical network models and multivariate statistics is particularly notable for its application in various scientific domains, enhancing the ability to analyze and interpret large-scale data sets. As an active member of the academic community, Dr. Zhao frequently collaborates with fellow researchers and statisticians, contributing to interdisciplinary projects that push the boundaries of statistical applications. His commitment to advancing statistical knowledge and his passion for teaching make him a valuable asset to the University of Delaware and the broader statistical community.