Nova Southeastern University
3200 S. University Drive, Suite 1236 HPD-EXEC
Fort Lauderdale, Florida 33328
FAX: (954) 262-3263
Cheng Wang, MSci, is the leading statistician and system analyst for the Institute for Child Health Policy. Ms. Wang earned her Bachelor of Science degree in Cell Biology from the University of Science and Technology of China and Master of Science degree at the Institute of Zoology of Chinese Academy of Sciences. She continued her research there until she came to the United States to further pursue her interests. She received her second Master of Science degree in Biochemistry-Molecular Biology from the University of California at Santa Barbara. In addition to completing statistical courses at University of Miami's Epidemiology and Public Health Department, Ms. Wang earned a CIS (Computer Information System) certificate. She has also been an SAS (Statistical Analysis Software) programmer for eight years and is familiar with several statistical analyzing products. As an adjunct professor in two divisions at Nova Southeastern University, she teaches statistics courses year round.
Ms. Wang has extensive scientific training in different fields and has conducted a broad spectrum of research in the areas of cell biology, molecular biology, biochemistry, marine biology, biostatistics in clinical trial, cost utilization and cost effectiveness analysis, gun violence surveillance and study, child injury prevention and child health policy. In recent years, Ms. Wang's research interest has focused on public health concerns, most specifically children's health care system changes in the United States. Teamed with other researchers, police agencies, and medical professionals, Ms. Wang actively involves in the quantitative and qualitative research on these topics. She specializes in program pre-implementation planning, data system setup, database management, statistical design and analysis, and quality assurance of data arising from hospital systems, epidemiological studies, police departments and government agencies.