Associate Professor, Public Health | Member of the Graduate Faculty
Xiaoxiao Sun, Ph.D. is an Assistant Professor in the Department of Epidemiology and Biostatistics at the Mel and Enid Zuckerman College of Public Health. His research focus is developing theoretically justifiable and computationally efficient methods for complex and big data arising in data-rich areas, such as genomics, social media, and neuroscience. His research interests include nonparametric modeling, computational biology, statistical computing, and big data analytics. In his previous research, he has developed several statistical methods for time course Next Generation Sequencing NGS) data. He is currently focusing on developing the novel computational framework to analyze super-large datasets efficiently.
A grant titled 'Computational Tools for Predicting and Understanding Knee Pain Spatial Patterns' has been awarded by NIH. Xiaoxiao Sun, Associate Professor at the University of Arizona, will lead this research project. The goal is to develop computational tools to accurately predict and interpret different types of knee pain patterns, focusing on early detection of structural abnormalities in knee MRIs.
Key Aspects:
- Addressing the need for accurate prediction and interpretability of knee pain patterns in Osteoarthritis
- Utilizing deep learning and statistical approaches for predicting incident localized or diffuse knee pain
- Characterizing the relationship between bone marrow lesions on MRIs and incident knee pain patterns
- Innovative approach to examining knee pain spatial patterns early in the disease course with a focus on interpretability.