Wenjie Sun, MD, PhD, MS
Location
Modeling of complex epidemiological data is important as we try to understand the mechanisms that shape our environment and to develop reasonable response strategies. Many such models also ignite interesting mathematical problems as complexity and nonlinearity increase. Methods I have used to understand the models include stability analysis of equilibiria, persistence theory and analysis of flow along boundaries, threshold values for growth and other behaviors, sensitivity analysis, and simulations with validation using data when possible. I try to pursue projects motivated by specific systems (cancer, mental health, and emerging disaster), as well as the analysis of general models applying to many systems. I enjoy relating mathematics to ecology and epidemiology and want to expand my research in the areas of chronic diseases, combined effects of gene interactions and environmental risks, developing optimal mitigation strategies for disease or disaster prevention, and mathematical analyses of prediction models.
Credentials
Education
Post-Doctoral Training
The University of Texas (Houston, Texas)
Research
Current research
I have several works in progress. The first is environment risk factors (PM2.5) and clinical outcome (cancer). The second is a project with colleagues from Canada on a follow-up study on lifestyle and chronic diseases.
Research interests
My research interests are in population-based studies with clinical outcome analyses, specifically my research focus is on understanding the influence of genetic and environmental factors in the etiology and prevention of chronic diseases.