معرفی
Xiaoming Sheng, PhD, is a Research Professor at the University of Utah, affiliated with the School of Medicine and Department of Pediatrics. He serves as a statistical mentor for the Pediatric Clinical and Translational Research (PCAT) program, contributing to clinical investigations across multiple subspecialties.
- Bachelor & Master of Engineering (China)
- Master of Science in Statistics (Dalhousie University, Halifax)
- PhD (University of Alberta, Canada)
His research spans biostatistics, public health, and machine learning applications in healthcare. Articles highlight remote sensing methodology for health misinformation, maternal mental health, pediatric heart failure, and computational approaches to disease management. He develops statistical education modules for medical students and has administrative leadership roles in university research committees.
Key article trends include statistical modeling for healthcare resource allocation, maternal/child health disparities, and machine learning in hospital readmission prediction. Notable collaborations involve the School of Medicine's PCAT program, with technical expertise in intra-abdominal pressure analysis and social determinant variables.
