Please join us in welcoming Juliet Pulliam, Real-Time Monitoring Branch Chief, from the Center of Disease Control and Prevention. She will be discussing the CDC’s newest center, the Center for Forecasting and Outbreak Analytics.
4290 Fitts-Woolard Hall
An introduction to CDC’s Center for Forecasting and Outbreak Analytics, with Q&A
The Center for Forecasting and Outbreak Analytics (CFA), CDC’s newest center, aims to enhance the nation’s ability to use data, models, and analytics to enable timely, effective decision-making for CDC and its public health partners in response to public health threats. CFA is composed of three divisions: Predict, Inform, and Innovate. This presentation will give an overview of CFA’s structure and work to date, with a focus on the Predict division, which generates forecasts and analyses to support outbreak preparedness and response efforts, supports critical data collections to inform models and response activities, and responds to needs of federal, state, tribal, territorial, and local leaders for analytical and forecasting results. I will highlight specific examples of our work that illustrate our key values of collaboration, innovation, and transparency. I will also discuss current opportunities within CFA and answer questions from the audience about CDC, CFA, and current internship and staff opportunities.
Juliet Pulliam is the Chief of the Real-Time Monitoring Branch within the Predict Division of the Center for Forecasting and Outbreak Analytics at the US Centers for Disease Control and Prevention. From 2016-2023, she served as the Director of the South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA, www.sacema.org) and Professor of Applied Mathematics at Stellenbosch University. Prior to that, she spent five years as a faculty member in the Department of Biology and the Emerging Pathogens Institute (EPI) at the University of Florida, where she was also the inaugural director of the International Clinics on Infectious Disease Dynamics and Data (ICI3D, www.ici3d.org) Program. Juliet received a PhD in Ecology and Evolutionary Biology from Princeton University in 2007 and spent three years as a Research and Policy for Infectious Disease Dynamics (RAPIDD) Program Fellow at the US National Institute of Health’s Fogarty International Center. Her research focuses on applications of mathematical modelling to epidemiology and control of emerging, zoonotic, and vector-borne infections. During the COVID-19 pandemic, she served as a member of both the South African National Department of Health’s Ministerial Advisory Committee (MAC) on COVID-19 and the core modelling team for the South African COVID-19 Modelling Consortium (SACMC). She was elected to the Academy of Science of South Africa in 2023.
