Jingyi Shi

Dr. Jingyi Shi is an Assistant Professor of Statistics at Mississippi State University. She holds a Ph.D. in Computing and Information Systems - Health Informatics from UNC Charlotte (2019). Her research focuses on data science, health informatics, and predictive modeling.

Research interests include machine learning applications in healthcare, natural language processing for knowledge extraction, and data quality quantification. Her work bridges statistical analysis with AI software development.

Recent publications (2020-2024) demonstrate a focus on healthcare analytics, including Alzheimer's disease prediction, telehealth systems, and pandemic-related research. Methodological contributions include novel clustering techniques and entropy-based feature selection.