Hi, I am Rémy, a research fellow at CRI Research in Paris. My research interests are primarily the data-driven discovery of physical models from biophysical data. With a background in theoretical biophysics and soft matter physics I try to leverage the increased power of data science and in particular machine learning to discover physical models form experimental data.
I obtained a PhD from Eindhoven University of Technology and have been working as a postdoctoral researcher in Institute Curie. During my previous research experiences I have modeled the growth and physical regulation of dendritic spines and the mechanics of the cytoskeleton. Alongside I picked up some more generic soft matter projects, examples of which are the crowding induced clustering of active particles under confinement and the role of crowding in diffusion curved environments.