Jingyi Zheng

Dr. Jingyi (Ginny) Zheng is an Assistant Professor in the Department of Mathematics and Statistics at Auburn University, where she has been publishing extensively on the cutting-edge intersections of computational statistics, data science, and machine learning. With a robust academic foundation, Dr. Zheng earned her Ph.D. from the University of California, Davis, in 2019, following her B.S. from Shandong University in China. Her scholarly pursuits are deeply rooted in the realms of statistics, with a keen focus on data science, machine learning, deep learning, and computational statistics. Dr. Zheng's research is particularly centered on the innovative applications of signal processing, image processing, and spatio-temporal analysis. Her work aims to advance the understanding and development of methodologies that can effectively handle and interpret complex data structures. This includes exploring new algorithms and techniques that enhance the accuracy and efficiency of data-driven decision-making processes. In addition to her research, Dr. Zheng is dedicated to teaching and mentoring students, fostering a collaborative and inclusive learning environment. She is committed to guiding her students through the intricacies of statistical theory and its practical applications, preparing them for successful careers in academia, industry, and beyond. Dr. Zheng's contributions to the field are recognized through her active participation in conferences and workshops, where she shares her insights and findings with the broader scientific community. Her work not only contributes to the academic discourse but also has practical implications across various sectors, including technology, healthcare, and environmental science.