Group research interests
Stochastic Models for Transport and Self-organization in Biological Systems
Stochsatic models
An increasing amount of evidence is demonstrating that the organization of many biological structures, ranging from single cells, to tissues and even full organisms, can be well described in terms of fractal geometry.
In addition, biologically-functional components more often show transport dynamics that deviate from pure Brownian motion, i.e, perform an anomalous (hindered) and non-ergodic dynamics. More recently, we have begun to expand the studies of anomalous diffusion to application of machine learning, and to theory of phase separation in living cells.
Collaborators:
- Dr. Miguel Ángel García March (UV)
- Prof. Maria García-Parajo (ICFO)
- Juan Torreno
- Carlo Manzo (UVic)