XIANGYANG YE

Xiangyang Ye, PhD, is a Research Associate Professor. He received his MS degree in Statistics from Michigan State University and his PhD in Biomedical Informatics from the University of Utah. His research primarily focuses on advancing healthcare through innovative methodologies, specifically: 1) leveraging predictive modeling, machine learning, and deep neural networks to empower patient awareness and optimize outcomes; 2) utilizing electronic health records (EHR) and medical terminologies and standards to enhance the quality of care and improve healthcare accessibility; and 3) employing advanced statistical modeling and artificial intelligence in creating tailored clinical decision support systems for personalized medicine.