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

hongbin.zhang@sph.cuny.edu

Dr. Zhang is a trained Statistician and IT professional with experience in developing theory and computer algorithms, UNIX system administration, study design and complex statistical data analysis. 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: 

Kang ES, Zhang H, Donner W, Von Seggern H. Electrical and Structural Origin of Self-Healing Phenomena in Pentacene Thin Films. Adv Mater. 2017 Apr 29.

Huang J, Pan G, Jiang H, Li W, Dong J, Zhang H, Ji X, Zhu Z. A meta-analysis between dietary carbohydrate intake and colorectal cancer risk: evidence from 17 observational studies. Biosci Rep. 2017 Apr 10.

Zhang H, Man B, Zhang Q. Topological Crystalline Insulator SnTe/Si Vertical Heterostructure Photodetectors for High-Performance Near-Infrared Detection. ACS Appl Mater Interfaces. 2017 Apr 26.

Kang ES, Zhang H, Donner W, Von Seggern H. Electrical and Structural Origin of Self-Healing Phenomena in Pentacene Thin Films. Adv Mater. 2017 Apr 29.

Cai Z, Zhang H, Wei Y, Cong F. Hyaluronan-inorganic nanohybrid materials for biomedical applications. Biomacromolecules. 2017 May 9.