Event Host: Translational Data Analytics Institute
Short Description: The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.
The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.
Cecile Viboud, a senior research scientist in the Division of International Epidemiology and Population Studies of the Fogarty International Center, National Institutes of Health, will discuss infectious disease modeling. Her research focuses on the epidemiology and transmission dynamics of acute viral infections, at the interface of public health and computational modeling. Her work has primarily concentrated on the epidemiology of respiratory viruses and pandemic influenza, but she has recently become interested in the potential of Big Data to strengthen infectious disease surveillance and forecasting approaches.
A native of France, she received an engineer degree in biomedical technologies from the University of Lyon (1998), a Master of Public Health (1999) and a PhD in Biomathematics (2003) from Pierre and Marie Curie University, Paris, France.
