Contemporary biology is characterized by a massive flux of data, and by new high-precision techniques. These technological changes open new scientific perspectives, which in turn lead us to challenge the classic paradigms. In this context, quantitative approaches are essential, and modeling methods based on statistical physics find new avenues for application.
We are a theoretical group applying tools and concepts from statistical and soft condensed-matter physics to fundamental questions in biology, such as cell functioning and genome organization. We are characterized by (i) a quantitative approach, (ii) interdisciplinary work in direct contact with experimentalists, and (iii) a full integration of data analysis and theoretical modeling. We work jointly between IFOM and the CNRS Computational and Quantitative Biology Laboratory (Sorbonne University, Paris).
Ongoing projects include:
The group engages in a fairly large number of collaborations with experimental groups in biology and quantitative biophysics, as well as with other theoreticians. Some of these collaborations concern the core themes described above, and are fully "symbiotic", with experimental and theoretical work being planned concertedly. Some other collaborations are configured as more accessory projects where our quantitative and modeling expertise is useful. Our Partners include: University of Cambridge, Ecole Normale Superieure Paris Sud, University of Minneapolis, Curie Institute (Paris), College de France (Paris), NCBS Bangalore, IRCAM (Nice), University of Milan, University of Padova, Santa Fe Institute, IFOM, LCQB Paris.
06 April 2018 rel.01