Samee Saiyed
PhD Candidate, Department of Civil and Systems Engineering
Samee is a PhD student of the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE), and the Infectious Disease Dynamics (IDD) group at Johns Hopkins University. He is interested in research that seeks to improve public health using data driven modeling approaches including visualization, geospatial information systems, machine learning, multimodal mobility modeling, and network science. His recent research has been focused on using data analytics to understand infectious disease spread and to create equitable urban communities.