Ulisse Ferrari's research interests encompass the collective behavior of heterogeneous ensembles, which span complex systems in statistical mechanics, neuronal networks in computational neuroscience, and viral vector variants in directed evolution.

During his PhD with G. Parisi and L. Leuzzi, Ferrari studied the dynamical behavior of spin glasses, which are lattice systems with disordered interactions. His subsequent research has focused on understanding how neurons collectively encode and transmit information in both the retina and the cortex. More recently, Ferrari has been involved in the engineering of viral vectors through directed evolution to enhance gene therapy in the retina. To achieve these objectives, he integrates statistical physics, machine learning, and information theory, working with extensive biological data in close collaboration with experimental colleagues.

Experience

• Principal Investigator (2017 - present)

  Institut de la Vision

Education

• PhD (2009 - 2012)

  University of Rome "La Sapienza"