Sara D. Mahdavi

The paper explores exploratory dynamics in biological processes, proposing mathematical frameworks like geometric distribution and random walks with resets to model search processes and their outcomes.

This paper uses statistical mechanical models to study how endogenous signaling parameters, such as effector concentrations, influence the stability of genetic circuits in living cells, contrasting with traditional approaches that rely on Hill functions and manually tuned parameters.