Measuring and Modeling Soft Living Matter

Welcome to Pierre Ronceray's research group web page. We study living matter, from proteins to cells to tissues, and aim at unfolding simple physical laws governing the assembly, mechanical and dynamical properties of these complex materials. We use a dual theoretical approach for this: on the one hand, we invent and study simple models to explain experimental results and predict new mechanisms. On the other, we design novel inference methods to measure the dynamical properties of these materials, such as force, stress and diffusivity fields, from experimental data.

We are part of the Turing Centre for Living Systems (CENTURI) and are located in the Physics and Engineering for Living Systems department of the Centre Interdisciplinaire de Nanosciences de Marseille (CINAM), in Marseille, France, in the beautiful campus of Luminy.


Stochastic inference

What can be learned by monitoring the stochastic dynamics of complex living systems?

Frustrated self-assembly

How do complex, low-symmetry objects such as proteins generically self-assemble?

Biomolecular condensates

Intracellular phase separation leads to the formation of liquid protein droplets. Like oil in water?


Pierre Ronceray

Principal Investigator. CV

Andonis Gerardos

PhD Student (start 10/21)

Ludivine Chaix

Master student


Stochastic Force Inference: a method to infer the force and diffusion fields from noisy trajectories of overdamped systems, developed with Anna Frishman. Check out the 2020 Physical Review X paper and the GitHub package (in Python).

Underdamped Langevin Inference: a similar inverse method for the underdamped case, developed with David Brückner and Chase Broedersz. Check out the 2020 Physical Review Letters paper and the Github package in Python.


Email: pierre.ronceray (guesswhat)

Office/mail: Bureau 606, Centre de Physique Théorique, Bâtiment TPR2, 163 Avenue de Luminy, 13009 Marseille France

The Parc National des Calanques, a short walk from the Luminy campus...