During his PhD, he worked extensively on disorder systems with a focus on optimization algorithms which are inspired by analogy between spin glass and NP-problems. Later, as post doc researcher, he starts to deal with collective biological behavior. Mainly, he developed many-bodies tracking algorithms and statistical inference methods to the study of bird flocks and, over a period of about 10 years, he has contributed to notable scientific publications on this subject. Currently he works on general issues concerning the non-equilibrium properties of soft and active matter systems and on the possibility of building, by starting from the experimental data, effective models able to describe the behavior of granular materials.