Hongmei Yang

Hongmei Yang, PhD, is a Research Associate Professor in the Department of Biostatistics and Computational Biology at the University of Rochester School of Medicine and Dentistry (SMD). She holds a PhD in Statistics from North Carolina State University (2007), an MS in Statistics from the University of Toledo (2003), and a BS in Mathematics from Central China Normal University (1997). Her research focuses on statistical methodologies for biomedical applications, including assay data analysis, mixed-effect models for correlated data, and high-dimensional variable selection.

• Education:
  • PhD in Statistics, North Carolina State University (2007)
  • MS in Statistics, University of Toledo (2003)
  • BS in Mathematics, Central China Normal University (1997)

Dr. Yang’s work bridges statistical theory and practical biomedical challenges, with emphasis on HIV, influenza, and pediatric infectious diseases. Recent studies include analyzing CD4 T cell immune responses to influenza vaccination, evaluating drug efficacy in HIV/TB co-infection, and modeling pharmacokinetics in pediatric populations. Her methodological contributions include advancing statistical techniques for ELISA/ELISPOT assays and longitudinal data analysis.

Publications highlight her expertise in applying mixed-effect models to clinical trials and developing novel statistical approaches for assay data. Collaborations span virology, oncology, and global health, reflecting her interdisciplinary impact.