Earlier in his career, Alessandro did research at Stanford University and at SRI International, and was an Assistant Professor at the Delft Center for Systems and Control, TU Delft. He received a Laurea degree from the University of Padova and MS/PhD at UC Berkeley.
Alessandro’s research interests lie on the analysis, verification, and optimal control of heterogeneous and complex dynamical models – in particular of stochastic hybrid systems – and in their applications in cyber-physical systems (smart energy and safety-critical autonomy), and modelling for the life sciences (systems biology). He is interested in a principled integration of model-based mathematical techniques with data-driven learning algorithms.