The faculty of the Department of Epidemiology and Biostatistics has many diverse backgrounds and research interests. Currently, the Epidemiology faculty are performing research in developmental origins of disease perspective to identify the prenatal and childhood determinants of later life mental and physical health; social determinants of violence, mental health, and substance use over the life course; research in cancer genetic epidemiology focusing on genes and gene-environment interactions involved in susceptibility to cancer and cancer precursors. Research in bioinformatics, with an emphasis on cancer genomics; investigating individual- and neighborhood-level determinants and risk factors of diabetes, obesity, and smoking in diverse populations and Identification of host genetic factors that affect pathogenesis of viral infections and response to antiviral therapies; implementation research, and identification of barriers to care for individuals with viral hepatitis and/or HIV, to name a few.

The Biostatistics faculty represents a dynamic group of researchers engaged in a wide variety of methodological and collaborative research topics. Statistical and biostatistical research includes missing data methods in complex data structures as well as computationally efficient algorithms for categorical data imputation. Causal inferential tools relying on traditional missing data techniques using parametric and nonparametric techniques, clustering and classification problems for identification of distinct patterns and populations in datasets represent some other examples of research topics. Developing new model fitting techniques and assessing goodness-of-fit measures are other emerging research areas. Multilevel modeling using either parametric or nonparametric methods, computationally efficient model selection algorithms in high dimensional settings and state-of-the art filtering techniques in search for trends in time series data are other fields of research our faculty carry. Novel application of these methods in a wide spectrum of public health problems is a natural complement to our research topics. Another emerging novel research is time and space methods of data analysis developed with applications for examinations in temporary geographic data in public health, cancer research, environmental pollution, climate, extreme weather effects, economy.

 School of Public Health Full Time Faculty

SUNY-Primary Department Other Than EPI/BST Full Time Faculty 

DOH Part Time Faculty Headline 

Other (Retired & Adjunct) Faculty