Mary Schooling joined CUNY in 2010 and has been a Professor at CUNY School of Public Health since 2013. Currently, she is Chair of the Department of Environmental Occupation, Geospatial Health Sciences.Mary Schooling is an Editorial Board member of the journal PLoS ONE, an Associate Editor of the Journal of Epidemiology and Community Health (BMJ Publishing Group) and an Advisory Editor for Social Science and Medicine. Her research program assessing health effects of lifespan trading off against growth and reproduction crosses traditional boundaries of individual disciplines or fields of enquiry and has yielded several translatable mechanistic insights. 1. A comprehensive explanation for the changing patterns of disease with the epidemiological transition including the emergence of higher rates of ischemic cardiovascular disease in men than women and the differing patterns of disease by migration status, specifically the higher risk of diabetes, hemorrhagic stroke and infection related cancers but lower risk of hormone related cancers and ischemic cardiovascular disease often seen in migrants from less to more economically developed settings. 2. Recognition by the United States Food and Drug Administration (2014/5) and Health Canada (2014) that androgens are a new cardiovascular disease risk factor, with impact on sales and practice3. Identification of existing classes of drugs, such as neurokinin 3 receptor antagonists and the traditional Chinese medicine puerarin, likely acting on the reproductive axis, which could be used more generally to combat cardiovascular disease.
PhD in Epidemiology from University College London, England
MSc in Statistics from Birkbeck College, England
MSc in Operational Research from Strathclyde University, England
MA in Pure Maths and Medieval History from University of St Andrews, Scotland
Non-communicable diseases, specifically applying evolutionary biology, i.e., growth and reproduction trading-off against longevity, to understand population health, to explain patterns of disease, and to identify new interventions.
Epidemiological methods, specifically application of techniques that enable robust causal inference.