R³ Lab

Biological life faces three fundamental challenges: adaptation, growth, and resilience. Regulation is central to meeting all three. To adapt, grow, and persist, biological systems must continually expand their regulatory architectures to accommodate new situations, coordinate increasingly diverse functions, and remain robust to internal and environmental perturbations. At the Regulation, Randomness, and Robustness (R³) Lab, we aim to develop a predictive theory of regulation that spans biological and societal systems. By examining regulation through a scale-independent lens, we seek to uncover universal regulatory mechanisms that are difficult to identify within any single system.

In our work, we draw on diverse data from a wide range of regulatory systems to distinguish universal patterns of regulation from those that are system-specific. Our methods include stochastic processes, statistical physics, evolutionary modeling, and network theory.