The mission of the Quantitative Biology Institute (QBio) is to understand how biological systems compute, and how the structure, organization, and behavior of living systems emerge from such computations.
The algorithms underlying biological systems have been selected for by evolution over billions of years: this leads to function that is robust in the face of noisy components and unpredictable inputs. Using analytic tools from physics, mathematics, and computer science together with quantitative measurements, we aim to decode these algorithms and understand how they operate over a wide range of temporal and spatial scales: from molecular, through cells and tissues, to organisms and populations. Our goal is to gain insight into the logic of life, and to uncover new principles by which distributed systems – both living and artificial – self- organize.