Ronceray Lab

Research focus

ERC Starting Grant · 2023

Super-resolved stochastic inference: learning the dynamics of soft biological matter

The dynamics of biological systems, from proteins to cells to organisms, is complex and stochastic. To decipher their physical laws, we need to bridge between experimental observations and theoretical modeling. Thanks to progress in microscopy and tracking, there is today an abundance of experimental trajectories reflecting these dynamical laws. Inferring physical models from noisy and imperfect experimental data, however, is challenging. Because there are no inference methods that are robust and efficient, model reconstruction from experimental trajectories is a bottleneck to data-driven biophysics. I will bridge this gap by developing practical algorithms that permit robust and universal…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.