Ping-Shou Zhong

Professor at the forefront of studies in high dimensional statistical inference and biomedical data analysis, Ping-Shou Zhong is an esteemed Associate Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago (UIC). With a robust academic background and a passion for advancing statistical methodologies, Professor Zhong has made significant contributions to the field of statistics, particularly in the realm of high dimensional data analysis. Professor Zhong's research interests are diverse and encompass several cutting-edge areas in statistics. He is particularly focused on high dimensional statistical inference, which is crucial for analyzing complex data sets that arise in various scientific fields. His work in statistical analysis for longitudinal and functional data has provided valuable insights into understanding data that evolves over time or is inherently functional in nature. Additionally, his expertise in the empirical likelihood method and nonparametric smoothing methods has led to innovative approaches in dealing with complex statistical challenges. A significant portion of Professor Zhong's research is dedicated to addressing missing data problems, a common issue in statistical analysis that can significantly impact the validity of research findings. His work in this area has been instrumental in developing methodologies that improve the accuracy and reliability of statistical inferences. Furthermore, his research has important applications in biomedical data, where accurate statistical analysis is vital for advancing medical research and improving patient outcomes. In addition to his research, Professor Zhong is committed to education and mentorship. He teaches courses such as STAT 385 and STAT 451, where he shares his knowledge and passion for statistics with students. His dedication to teaching is evident in his engaging lectures and his willingness to support students during his office hours. Through his research and teaching, Professor Zhong continues to inspire the next generation of statisticians and contribute to the advancement of statistical science.