Tracking COVID-19 spread faster, more accurately
Lei Ying, a professor of electrical engineering and computer science, is developing algorithms to quickly and accurately identify COVID-19 “patient zero” and reconstruct the virus’s path with limited information. Ying’s approach combines big data, network science, and stochastic systems, using information such as human mobility data, social network data, and genetic network analysis to track the spread of… Read More »