Consortium for Modeling and Analysis of Treatments and Interventions

Susan does research in large-scale agent-based modeling and simulation. She is the contact for the Epidemic Simulation System (EpiSimS), which is used for modeling the spread of infectious disease through detailed synthetic population social networks to understand the impact of mitigation strategies and behavior changes. She also works on dynamic activity scheduling for population models using optimization, utility, priority, and time constraints.

Susan has a diverse computational background – Other current work includes development of molecular dynamics (MD) proxy applications for next generation computers, exploration of sparse matrix and graph-based linear scaling approaches for quantum molecular dynamics (QMD), and performance simulators for accelerated molecular dynamics (AMD) methods. Past work includes large-scale hydrology modeling, ontology-based clustering and protein similarity matching, wavelet-based distance visualization, infrastructure software for coupling parallel applications, automated data interpretation for analytical chemistry, translating text-to-phonemes using a large-scale default hierarchy learning system, link encryption, and more.