NIH-AARP Diet and Health Study
History of this Study
In Memoriam
Participants' Profile
Participant Newsletter
Resource for Researchers
Contact Us

Study Management Team

To continue Dr. Schatzkin's important work in nutrition, lifestyle and cancer research within the NIH-AARP study, we have established a new leadership team to assume the responsibility and directions of our study. The study team includes Drs. Charles E. Matthews, Linda Liao, Rashmi Sinha, and Mary Ward. This team of experts is well-versed in various areas of etiologic research for multiple cancers.

Charles E. Matthews, Ph.D., a Senior Investigator in the Metabolic Epidemiology Branch, DCEG, NCI has been particularly interested in understanding how type, intensity, and amount of physical activity relates to the development of different cancers. Recently, he began to test the research question that high levels of sedentary behavior or “too much sitting” may increase the risk of certain cancers.

Linda Liao, Ph.D., M.P.H., a Staff Scientist in the Metabolic Epidemiology Branch, DCEG, NCI has had a long-standing interest in how dietary factors and obesity affect the development of cancer. A major focus of her research has been evaluating molecular markers in relation to upper gastrointestinal and kidney cancers.

Rashmi Sinha, Ph.D., a Senior Investigator in the Metabolic Epidemiology Branch, has focused her research on improving dietary exposure assessment, understanding the biological mechanisms of dietary exposures and cancer, and assessing the role of protective and cancer causing agents in foods such as coffee and processed meats or meats cooked at high temperatures. She also examines the wide variety of diet, lifestyle and environmental exposures in different ethnic groups.

Mary H. Ward, Ph.D., Senior Investigator in the Occupational and Environmental Epidemiology Branch, conducts research on drinking water contaminants, pesticides, and persistent organic pollutants in relation to adult and childhood cancers. She uses geographic information systems (GIS) and environmental measurement data to develop models of environmental exposures for epidemiologic studies, with an emphasis on drinking water nitrate and agricultural pesticides.