top of page
The aim of the Physics Inspired Machine Learning (PhIMal) Lab is to use tools from data-science and machine learning to leverage the discovery of physical models from experimental biophysical data. Our team is based at CRI Research in Paris.
​
First paper on model selection with neural networks is out on arXiv,
and an example of the method is described in this blog
Other news:
​
Polymerization drives membrane deformation published in Nature Physics:
Buckling and wrinkling of actin coated vesicles
published in Soft Matter
Mechanics and growth act together to form localized structures in elastic struts Proc. Roy. Soc. A
Myosin 1b forces regulate actin depolymerization
Nature Comm.
bottom of page