Research

Most properties of living organisms result from a network of interacting cellular components. A systems biology approach is key for understanding the behavior of networks underlying such diverse processes as the propagation of action potentials in neurons, spatial orientation of cells during chemotaxis, cellular differentiation during hematopoiesis, and the cell division cycle.

We use mathematical and computational tools, including deterministic and stochastic dynamical systems theory, to analyze a range of cellular phenomena. While experiments employing high-throughput technologies have revolutionized systems biology and provided a wealth of data, new experimental approaches are often needed to reveal important properties of a biological system. Therefore, we usually combine experimental and theoretical work.

We are interested in the analysis of the behavior and evolution of synthetic and natural cellular networks using primarily yeast as a model organism.

CV