Gene expression is a biochemical process driven by the chance collisions of molecules, which can result in strong stochastic signatures and cell-to-cell variability in gene network dynamics (e.g. oscillation). Biological oscillators co-exist in the same cell and can interact directly or indirectly through shared resources. Our lab uses modeling and experiments to understand how these oscillators have evolved to interact and couple in the noisy cellular milieu. The first half of my talk will show that gene expression noise accelerates the in silico evolution of a de novo oscillator, and I will present several mechanisms responsible for this acceleration. The second half of my talk will discuss our experimental work on the coupling between the yeast cell cycle (a slower oscillator) and the yeast metabolic cycle (a faster oscillator). The yeast metabolic cycle is a rich problem involving two oscillators that couple within the cell and also between cells to synchronize a population.