qBio is the power of math-based reasoning and advanced instrumentation from physics and engineering harnessed to discover fundamental principles of living systems.
To make biology quantitative and predictive, it is necessary to draw upon a multitude of approaches from the physical sciences and engineering. These include theoretical concepts developed from studies in statistical mechanics and nonlinear dynamics, and experimental methods such as microfluidics and advanced imaging. Therefore the goal of the qBio graduate program is to provide the students with a mastery of both the theoretical knowledge and experimental skills, and guide them to employ both approaches to address fundamental biological problems during their thesis research.
Discover Our Hacker LabHacking a Revolution in Biology
Graduate students in new quantitative biology doctoral program learn to modify microscopes and other instruments to probe frontiers of their emerging discipline
We use quantitative biology approaches to uncover fundamental principles of cellular behavior. Specifically, we integrate quantitative imaging, data analysis and mathematical modeling across molecular, single cell and population scales to elucidate the relationship among the pattern of interactions, stochastic fluctuations (noise) and complex dynamics of genetic circuits that govern among others cell fate choice. Our goal is to understand the evolutionary selection pressures that may have selected for beneficial cellular and population level strategies.
Single cell dynamics and behavior
We are fascinated by single cell dynamics and behavior. In particular, our research focuses on understanding the molecular mechanisms and functional implications of cell-to-cell heterogeneity within populations of genetically identical cells.
Population-level dynamics in space and time
We are also passionate about investigating how noisy and heterogeneous single celled bacteria adopt new behaviors and collective dynamics in the context of structured communities known as biofilms.Emergent behaviors
One of our major research goals is to understand emergent dynamics and behavior across spatial and temporal scales. For example, how do interactions among genes and proteins give rise to non-trivial dynamics and cellular phenotypes? And how do interactions among individual cells give rise to emergent collective dynamics and behaviors?