This dissertation focuses on the development of quantitative approaches for characterizing endogenous signaling pathways and designing new pathways in mammalian cells. I demonstrate how mathematical descriptions that are formulated to explain gene expression patterns can also serve as a powerful springboard for deeper analyses into the properties and functions of...
Biological systems comprise diverse collections of cellular and non-cellular components with intricate relationships and dynamic interactions. To gain system-level understanding, we must be able to accurately model these systems, both experimentally and computationally. Agent-based models (ABMs) in particular are a uniquely intuitive, modular, and flexible framework capable of supporting multi-scale,...
Cells are complex, autonomous machines that integrate many environmental cues to execute a desired response. Though this property makes cells versatile, it presents significant design challenges when, to treat diseases, we must alter cellular responses. To understand changes to the complex regulatory pathways that cause diseases, studies often investigate the...