Hongbin Zhang

Assistant Professor of Biostatistics

Ph.D Statistics
University of British Columbia

M.Sc Statistics
University of British Columbia

M. Eng Computer Science
Chinese Academy of Sciences, Beijing, China

B.Sc Mathematics
Peking University, Beijing, China


Dr. Zhang is a trained Statistician and experienced biostatistician with skills in developing theory and computer algorithms for complex longitudinal data and expertise in collaborative research in HIV, orthopedic surgery, radiology, arthritis and others. He is particularly interested in implementing computational intensive algorithms and investigating computational efficient alternatives. Examples of Dr. Zhang’s previous work include a study to identify biomarkers for early detection of knee osteoarthritis, research into HIV and hepatitis C vulnerabilities among young aboriginal drug users in Canada, and an assessment of how the duration between injury and surgery impacts surgical outcome.

Dr. Zhang is a recipient of CUNY’s most competitive PSC-CUNY ENHC award, for a study on Neurocysticercosis cyst evolution using multistate model, addressing data complexities such as latent pathway and lost-of-follow up.

His implementation experience focuses on bio statistical applications and longitudinal study with complex data and causal inference.

Key Projects: 

Recent Publications: 

Porsch LM, Zhang H, Dayananda I, Dean G. Comparing Receipt of Cervical Cancer Screening and Completion of Human Papillomavirus Vaccination Using a New Construct of Sexual Orientation: A Serial Cross-Sectional Study. LGBT Health. 2019 May 8. doi: 10.1089/lgbt.2018.0196. [Epub ahead of print]

Zhang H, Wong H, Wu L. A mechanistic nonlinear model for censored and mismeasured covariates in longitudinal models, with application in AIDS studies. Stat Med. 2018 Jan 15;37(1):167-178. DOI: 10.1002/sim.7515. Epub 2017 Oct 16.

Zhang H, Wu L.A non‐linear model for censored and mismeasured time varying covariates in survival models, with applications in human immunodeficiency virus and acquired immune deficiency syndrome studies.J R Stat Soc C. 2018 Apr 29. doi:10.1111/rssc.12279

Wu L, Zhang H. Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies. Journal of Probability and Statistics. Volume 2018, Article ID 1581979, 7 pages.

Jongbloed K, Thomas V, Pearce ME, Christian KW, Zhang H, Oviedo-Joekes E, Schechter MT, Spittal PM. The Cedar Project: Residential transience and HIV vulnerability among young Aboriginal people who use drugs. Health & place. 2015; 33:125-31.