Sheila Teves

As a Wall Scholar, Prof. Teves will explore and generate new computational models that integrate genomics data with imaging analysis. Her work on transcription regulation to understand cell identity and function using embryonic stem cells relies on two very different technologies. Genomics analysis enable us to query processes at a global and genome-wide scale, but the information is necessarily static. That is, genomics provides a snap-shot of what is happening inside the cells at a given time. To complement these large-scale but static data, we use live-cell imaging analyses that allow us to examine individual proteins and genes at real-time resolution. Imaging analyses therefore is a low-throughput system that provides rich information on the dynamics of processes within cells. Her goals as a Wall scholar will be to explore new ways of integrating these distinct data and generate new computational models for understanding the intricate relationship between cell identity and transcription regulation.