Dr. Xianjun Li specializes in translating MRI technology into quantitative biomarkers of early brain development and injury. He earned his B.S. in Biomedical Engineering from Shandong University (2010) and his Ph.D. (2017) in Biomedical Engineering from Xi’an Jiaotong University. He was appointed Associate Researcher in the Department of Radiology in 2022, having served as Assistant Researcher there since 2017. He completed a post-doctoral fellowship at the Xi’an Jiaotong University Health Science Center from 2018 to 2023. His current research focuses on three tightly linked themes: (1) developing motion-artifact detection and rejection pipelines that make diffusion MRI reliable in neonates and infants; (2) building multi-parametric MRI metrics to chart the spatiotemporal trajectory of white-matter maturation; and (3) integrating these imaging signatures with deep-learning algorithms to predict cerebral palsy risk in the first two years of life. Through open-source toolboxes and multi-center collaborations he aims to establish MRI-based decision support systems that can guide early interventions.