Dr. Wenhui (Vivian) Zhang earned her BSN from the Xiang-Ya Schools of Medicine and Nursing, Central South University, China. Together with her PhD in Nursing, she obtained a master’s degree in Statistics (Department of Statistics and Data Science), a minor portfolio certificate in Aging and Health (Department of Human Development and Family Sciences), and training in health informatics and telehealth at the University of Texas at Austin. She then completed a 2-year postdoctoral training in the Center for Data Science, Emory University NWH School of Nursing. During these two years, she received further training in geriatrics, data science, clinical informatics, and omics.

https://www.ncbi.nlm.nih.gov/myncbi/wenhui.zhang.2/bibliography/public/

Dr. Zhang has been teaching two courses, Health Outcomes Research and Data Utilization in Nursing Practice, since 2021 and has mainly contributed to the sections of applied statistics and data science in nursing research and practice.

“My teaching philosophy aligns with my research on successful aging and self-regulation strategies involving goal setting, methods, and resource allocations. Critical thinking is valuable in self-regulation and for healthcare providers and researchers who work independently and in teams for quality care. I have been following this philosophy in my own education and when working with students.” Dr. Zhang has been continuously learning, advancing, and practicing her communication and teaching skills and strategies. She has worked in clinical simulation, nursing research, biology, statistics, and data science courses. She has been funded to launch a new elective course. She has also served as a mentor for students with diverse backgrounds and interests.

Dr. Zhang has been funded to study the empty-nest syndrome, mental health and expressive writing, self-management and social determinants associated with arthritis and multimorbidity, and mental health and gut microbiome. She recently proposed to analyze electronic health records with machine learning to develop clinical decision support tools for nursing quality indicators, such as delirium. She is also studying multimorbidity trajectory, phenotypes, and omics.

Graduate Poster Award, St. David’s CHPR 17th Annual Conference, 2019

Linda Morgante Hope Poster Award, Best Work to Inspire Hope in MS, International Organization of Multiple Sclerosis Nurses, 2017

HCSRN (Health Care Systems Research Network)-OAICs (Claude D. Pepper Older Americans Independence Centers) AGING (Advancing Geriatrics Infrastructure and Network Growth) Initiative MCCs (Multiple Chronic Conditions) Scholar, 2021

Aspiring PI, NSF (National Science Foundation) SCH (Smart and Connected Health) Workshop-Smart Health in the AI (Artificial Intelligence) and COVID Era, 2021

Delirium Bootcamp Alumni, Network for Investigation of Delirium: Unifying Scientists, 2020

Georgia CTSA TEAMS (Translational Education and Mentoring in Science) Fellow, 2023-2024

Aging and Mental Health Biostatistical Fellow, Advanced Research Institute, 2020

(Thanks to the sponsors and donors!)