Qian (Michelle) Zhou

Dr. Qian (Michelle) Zhou is pioneering research in the field of statistics as an Associate Professor in the Department of Faculty-Statistics at Mississippi State University. With a Ph.D. in Statistics from the University of Waterloo, Dr. Zhou has carved a niche for herself in the realms of model diagnosis, model selection, risk prediction, biomarker evaluation, survival analysis, and longitudinal data analysis. Her work is centered on developing sophisticated statistical methods to tackle core issues related to model misspecification, ensuring robust procedures for parameter estimation. Dr. Zhou's research is particularly focused on advancing statistical methodologies that are crucial for clinical and genetic studies. Her innovative approaches aim to enhance the accuracy and reliability of statistical models, which are vital for interpreting complex data in these fields. By addressing the challenges of model misspecification, she contributes significantly to the development of more precise and effective statistical tools. In her academic career, Dr. Zhou has been committed to bridging the gap between theoretical statistics and practical applications. Her work not only advances the theoretical framework of statistics but also has practical implications, particularly in the areas of risk prediction and biomarker evaluation. These contributions are essential for improving decision-making processes in healthcare and other industries reliant on statistical analysis. Dr. Zhou is also dedicated to mentoring the next generation of statisticians. She actively engages with her students, encouraging them to explore innovative solutions to statistical challenges. Her teaching philosophy emphasizes the importance of a strong theoretical foundation, coupled with practical application, to prepare students for successful careers in statistics and related fields. Through her research and teaching, Dr. Zhou continues to make significant strides in the field of statistics, contributing to both the academic community and the broader field of applied statistics. Her work is instrumental in shaping the future of statistical analysis, particularly in the context of clinical and genetic research.