Virginia Pitzer is a Professor of Epidemiology (Microbial Diseases) at Yale School of Public Health, where she joined as an assistant professor in 2012. She serves as Co-Director of the Public Health Modeling concentration and is an Affiliated Faculty member at the Yale Institute for Global Health. Dr. Pitzer is also a member of the Graduate Studies Executive Committee overseeing the PhD program and currently serves as Co-Editor-in-Chief for PLOS Computational Biology. She has contributed to World Health Organization advisory groups, including the Immunization and Vaccine-related Implementation Research Advisory Committee (WHO IVIR-AC). Dr. Pitzer's research focuses on mathematical and statistical modeling of infectious disease transmission dynamics, with special emphasis on rotavirus, typhoid fever, and Respiratory Syncytial Virus (RSV). Her work examines how interventions such as vaccination, improved treatment of cases, and improvements in sanitation affect disease transmission at the population level. She has published extensively on vaccine effectiveness, transmission patterns across age groups, and the impact of vaccination programs in both high and low-income countries. Her research has significant implications for public health policy and vaccine implementation strategies globally. Dr. Pitzer has received recognition for her scholarly contributions through her editorial role at PLOS Computational Biology and her participation in WHO advisory committees. Her work bridges mathematical modeling with practical public health applications, particularly in global contexts where infectious diseases pose significant challenges. As Co-Director of the Public Health Modeling concentration, Dr. Pitzer plays a key role in training the next generation of researchers in mathematical epidemiology. Her collaborative approach is evident through her numerous co-authored publications with researchers across Yale and international institutions. The Pitzer Lab continues to advance methodologies for modeling infectious disease transmission and evaluating public health interventions.







