Samee is a PhD Candidate 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 working on research that seeks to improve and safeguard public health through actionable insights informed by data-driven modeling. He is passionate about using data and advanced modeling tools to develop impactful solutions and improve the quality of life worldwide.
We utilize available epidemiological surveillance data (cases, hospitalizations, wastewater), travel data, land use patterns, climate data, sociodemographic data, behavioural data, policy and ecological models within statistical, machine learning and AI […]
In this line of work we employ various methods, from statistical analysis to novel survey design and implementation, aimed to improve our understanding of vaccination decision making in the U.S., […]