Wenke Hwang, Ph.D.
Dr. Hwang, director of the online public health program, specializes in risk adjustment methodology and measurement of an individual's comorbidity and disease burden in the context of evaluating treatment effects, quality of care, and health care cost and reimbursement. His research also focuses on health system issues, such as care coordination and the functional division between different medical specialties across different practice settings in care for persons with multiple conditions. He teaches courses in health services research and health care financing and payment policy.
Dr. Hwang receives grant funding from the Agency for Healthcare Research and Quality, AstraZeneca, and the National Cancer Institute to study on-going care for cancer patients with co-existing chronic conditions. Trained in health service research and economics, Dr. Hwang is currently serving as co-investigator on a National Institutes of Health randomized controlled trial study on diabetes (ACCORD) and a co-investigator on a randomized controlled trial on the economic impact of using MRI technology in emergency department patients with chest pain.
Huamei Dong, Ph.D.
Dr. Dong obtained a Ph.D. from the University of Southern California in 2005, with extensive training in statistics and applied mathematics. As a fixed-term faculty member in the Department of Public Health Sciences, she teaches graduate courses for the Division of Biostatistics and Bioinformatics. She has taught several graduate courses focusing on multivariate statistics and biostatistics, and she is involved in expanding the online course, Principles of Biostatistics.
John Hustad, Ph.D.
Dr. Hustad's research program strives to understand the course and treatment of substance use disorders. He is particularly interested in evaluating mechanisms of change and treatment outcome research for hazardous alcohol consumption by college students. This programmatic line of research has potential to improve tailored intervention and prevention strategies for college students that are designed to decrease the harms associated with excessive drinking.
Eugene J. Lengerich, VMD, M.S.
Dr. Lengerich is an epidemiologist who develops, tests, and disseminates evidence-based strategies for the clinic and public health. His research has been funded by the National Institutes of Health, Centers for Disease Control and Prevention (CDC), United States Department of Agriculture, Health Resources and Services Administration, and the Commonwealth of Pennsylvania, as well as professional and nonprofit organizations.
Dr. Lengerich is principal investigator for the Northern Appalachia Cancer Network, a community-academic partnership begun in 1992 to reduce cancer health disparities in rural communities of Pennsylvania and New York. He has led the development of web-based atlases and geospatial analytic tool kits to inform public health practice and policy. From 1991 to 1998, Dr. Lengerich was director of chronic disease epidemiology for the state of North Carolina. From 1988 to 1991, he was an epidemiologist with the CDC in Atlanta, Georgia, during which time he conducted outbreak investigations related to cryptosporidiosis, giardiasis, asthma, and salmonellosis. He helped develop national public health data policy by serving on the National Committee on Vital and Health Statistics from 2000 to 2004.
Dr. Lengerich enjoys mentoring pre- and post-doctorate scholars and teaching resident and online graduate courses in public health preparedness and epidemiological research methods.
Jeff Yanosky, Sc.D.
Dr. Yanosky's research interests focus on the statistical modeling of air pollutant concentrations, including fine and coarse mode particulate matter, ozone, nitrogen oxides, ultrafine particles, carbon monoxide, and other pollutants, in order to better understand both acute (short-term) and chronic (long-term) human exposures and their impacts on human health. He is currently developing GIS–based spatio-temporal statistical models of air pollutant concentrations that can be used to improve understanding of the relationship between chronic air pollution exposure and several aspects of human health, including incidence rates of cardiovascular disease, stroke, lung cancer, and other endpoints. Dr. Yanosky is also interested in modeling air pollutant emissions from traffic and the impacts of traffic-related air pollution on health. In addition, he is interested in using measurements of human exposure to air pollution, as well biomarkers of exposure and effect, to better link exposure with disease, and in the statistical modeling of health effects using advanced techniques, such as generalized additive models and generalized additive mixed models.