Research

We develop computational simulations that explain what motivates human behavior and forecast the effects of public policies on communities.

We analyze how multitudes of networks – from social media to transportation – interact in society and devise methods to transform these processes.

We develop tools to distill vast medical and ecological data and share them with research scientists, healthcare professionals and policymakers.

By computing predictive models, we provide public-health policymakers with data and analysis to identify and respond to epidemics.

We explore the information content in structured sequence data to reveal how changes in one influence the time evolution of the other. This contributes unique insights into viral dynamics at the host population level.

We investigate the structure of large bio-networks such as long noncoding RNA molecules. This contributes to the understanding of cancer development.

We study the abstraction to shape of a biological system - using it as a mathematical language to measure its complexity of interaction and provide ways of decomposing it into more fundamental blocks. This contributes to the understanding of ncRNA and structure switching.

Tackling community issues such as economic mobility and improving access to food, housing, and jobs to advance community health and well-being.

Improving the well-being of citizens across the nation through the health of our national systems from food to defense to technology.

Assessing the use of non-survey data flows to supplement or enhance current development of Official Statistics.