As chair of Pitt Public Health’s Department of Biostatistics, Peddada leads a program internationally recognized for its research efforts and graduate student programs, particularly in emerging data science fields dealing with big biomedical data, such as genetics, genomics, mobile health, neuroimaging and electronic data collection in clinical trials, which have increased demand for trained biostatisticians. Department faculty participate in research ranging from national phase 3 clinical trials to international studies evaluating health outcomes from environmental and occupational exposures.
Peddada’s research is at the intersection of several fields of public health, including computational biology, genomics and epidemiology. He focuses on developing statistical models that creatively use data to make public health discoveries that change how we prevent and treat a range of health conditions.
He is a member of the International Statistical Institute and an elected fellow of the American Statistical Association.