معرفی
Xiaopeng Ji is an Associate Professor at the School of Nursing within the University of Delaware's College of Health Sciences. With expertise in sleep and circadian health, AI/digital health, and youth/cardiometabolic risk research, they focus on integrating social determinants of health, biological markers, and artificial intelligence tools into symptom science studies involving neurobehavioral function, cardiometabolic risk factors, and pain in community-based populations.
- PhD in Nursing (University of Pennsylvania)
- MA in Statistics (University of Pennsylvania Wharton School)
- MSN in Nursing (Second Military Medical University, China)
- BSN in Nursing (Southeast University, China)
Their research program extensively examines sleep patterns across diverse cohorts, including adolescents, young adults, and socioeconomically disadvantaged families, with particular emphasis on sleep variability, circadian misalignment, and digital health interventions. Recent projects include AI-powered sleep chatbots targeting cardiometabolic risk populations and longitudinal analyses of sleep's impact on cognitive function and metabolic health.
Scientific recognitions include the 2023 Club Hypnos Cup award from the Sleep Research Society and multiple NIH-funded grants for sleep-related interventions. Current teaching responsibilities cover population health, global health, and evidence-based practice courses at both undergraduate and graduate levels.
