As a passionate and creative researcher at the University of Rochester School of Nursing, Chen Zhang was trained in medicine, social science, data science, and epidemiology. Since beginning her Master of Public Health program at Texas A&M Health Science Center, Zhang has participated in several NIH-funded projects focused on behavioral and biomedical interventions among vulnerable populations (e.g., female sex workers, children affected by AIDS, people living with HIV/AIDS, injected drug users, and men who have sex with men).
During her work on those projects, Zhang has developed quantitative and qualitative data analytical skills, including content analysis, multivariate regression analysis, meta-analysis, mathematical modeling, latent variable analysis, multi-level analysis of individual heterogeneity and discriminatory accuracy (MAIHDA), and budget-impact analysis.
Since Zhang began her work as an assistant professor at the UR School of Nursing, she has become an active member of its Interdisciplinary Sexual Health and HIV Research group (INSHHR). By working with colleagues and collaborators, Zhang's research aims to promote the PrEP cascade (e.g., awareness, prescription, uptake, retention, and adherence) among groups with risks of HIV infection in various settings (e.g., STI clinics and community-based organizations) across the U.S.
In addition, Zhang is actively employing artificial intelligence techniques in health care by developing an AI-powered chatbot to facilitate HIV prevention among groups at high risk of HIV infections. She also contributes significantly to health disparity and equity research, especially among racial and minority women. In a recently funded project, Zhang is exploring multilevel components of structural racism that may impact sexual and racial minorities in the U.S. With big data techniques, she also leads the exploration of social determinants of health among sexual minority groups using the All of Us Research Hub as well as other existing data sources.
My current research focuses on behavioral and biomedical interventions (e.g., circumcision, pre-exposure prophylaxis) targeting high-risk populations (e.g., MSM, FSW, IDU, PLWHA) in the U.S. and abroad. Using both quantitative and qualitative methods, I am trying to develop and implement tailored interventions with high efficacy/effectiveness and cost-effectiveness.