Qingning Zhou

Qingning Zhou is an Associate Professor in the Department of Mathematics and Statistics at the University of North Carolina at Charlotte. He holds a Ph.D. in Statistics from the University of Missouri and previously served as a Postdoctoral Research Associate in the Department of Biostatistics at UNC Chapel Hill. His office is located in Fretwell 335L, and he can be reached at qzhou8@charlotte.edu or (704) 687-6020.

Education:

• Ph.D. in Statistics, University of Missouri

Dr. Zhou specializes in advanced statistical methodologies for survival analysis, with particular expertise in censored and interval-censored data. His research develops innovative semiparametric regression techniques for case-cohort studies, cure models, and longitudinal data analysis. This work has significant applications in biomedical research, especially in HIV vaccine trials and kidney disease progression among sickle cell disease patients. His methodological contributions focus on improving estimation efficiency and addressing complex censoring mechanisms in clinical data.

Analysis of his 2020-2025 publications reveals a concentrated research trajectory in interval-censored survival data with biomedical applications. He has pioneered methods for case-cohort designs with cure fractions, informative censoring in HIV trials, and kidney disease biomarker analysis in sickle cell populations. His work consistently bridges theoretical statistics with practical clinical challenges, particularly in nephrology and infectious disease research.

Scientific Awards:

• No awards listed in available information

While specific advising details and grant funding aren't documented in the provided materials, Dr. Zhou's active publication record in high-impact biostatistics journals suggests ongoing mentorship of graduate students and involvement in collaborative biomedical research projects. His methodological expertise positions him as a key contributor to studies requiring sophisticated survival analysis techniques.

Labs and Teams: No specific laboratories or research teams are mentioned in the available documentation.