"Modeling a pandemic. How the analysis of big data joined with biological and social scientific research helps in understanding a pandemic spread,” with Dr. Caterina Scoglio, professor in electrical and computer engineering

This episode brings another timely discussion about the challenges caused by the current worldwide pandemic. Dr. Caterina Scoglio, Paslay chair professor in the Mike Wiegers Department of Electrical and Computer Engineering at Kansas State University, explains the use of modeling in predicting the spread of epidemics. Dr. Scoligo specializes in developing theoretical models for the spread of disease. By using a generalized epidemic model framework software for the simulation of spreading, she apples models developed by her team to human and animal infectious diseases. Scoglio has developed models for the movement of ebola in Africa and protein corona formation in nanoparticles, which has been validated by experimental data. She has also developed network architectures and protocols for secure communication in smart grids.