My team uses tools from biophysics to study biochemical interaction networks. A major challenge in this field is to go beyond a mere description of connectivity, and understand the relations between structure and function, notably during evolution.
Microfluidic technology plays a central role in our activity, as it allows to impose perturbations and analyze the response of the system at a high-throughput and in a highly multiplexed manner. We also put a strong emphasis on quantitative analysis in relation with theoretical models.
What are the conditions for molecular systems to build up in complexity?
We study how evolution could start in self-replicating reaction networks in vitro. By developing tools to measure compositional trajectories, we address questions about the flow of information and the feedback between network structure and function in the context of the origins of life.
How to control and evolve gene networks?
We develop strategies to impose multiple genetic or drug perturbations, and measure the resulting phenotypes. Our aim is to understand multi-factorial interactions in terms of network wiring. From this, we study evolutionary constraints arising from functional interactions between genes.