Dr. Jeff D. Yanosky's research interests focus on bettering understanding of health effects of air pollutants at realistic levels experienced by the general population. Because the primary weakness of environmental studies is poor exposure assessment, Dr. Yanosky’s research has focused on improving air pollution exposure assessment though the development of complex high-dimensional statistical models of air pollutant concentrations that include small-scale influences of nearby vehicular traffic, including fine and coarse mode particulate matter, ozone, nitrogen oxides, ultrafine particles, carbon monoxide and other pollutants such as metal fumes and lead, copper, zinc, and selenium. He has developed GIS-based spatio-temporal statistical models of air pollutant concentrations that have been and can continue to be used to improve understanding of the relationship between short- and long-term exposure to many air pollutants and several aspects of human health. He is also interested in measurement of and patterns in personal exposure to air pollutants.

In addition, Dr. Yanosky has conducted and collaborated on many studies of the health effects of various pollutants, including studies on non-accidental and cause-specific mortality, respiratory diseases such as lung cancer and asthma, cardiovascular disease and sub-clinical cardiovascular endpoints such as flow-mediated dilation, blood pressure/hypertension, and stroke, blood inflammatory markers, neurological conditions such as cognitive decline, psychological conditions such as depression, and others such as epigenetic changes, obstructive sleep apnea, bone mineral density, kidney disease, ALS, sarcoidosis, type-2 diabetes, and others. Notably, Dr. Yanosky’s exposure assessment methods have been applied in the Nurses’ Health Study, Women’s Health Initiative, and many other studies. Researchers with health datasets interested in attaching air pollutant concentration estimates are invited to collaborate. Please contact by email to request a CV.