CV

Position

  • 2010 – today Assitant Professor at the Departement of Statistics of the University of Milano-Bicocca.
  • 2008 – 2010 Post Doc. grant at the Department of Informatics, Systems and Communication (DISCo) at the University of Studies of Milano-Bicocca.

Education

  • Ph.D in Computer Science in February 2008,  at the University of Studies of Milano-Bicocca, Italy.  Thesis title: “Modelling, analysis and stochastic simulations of biological systems“.
  • M.Sc. in Physics in June 2003 at the University of Studies of Insubria, Como – Italy. Thesis title: “Mie Scattering: applications in single and multiple scattering conditions“.

Research Interests

  • Systems Biology: Focusing on the mathematical modelling of biological systems.
  • Discrete, stochastic and hybrid simulation: Development, analysis and devise of mathematical and numerical tools for the study of the dynamics of complex systems. Particular interest is devoted to those systems in which the noise plays a major role, as it happens in many biological systems.
  • Static Modelling: Development, analysis and devise of mathematical and numerical tools for the study of  complex systems in which the dynamic approach is unfeasible. Among these, the Constraint Based approach is particularly suitable to study genome-wide models.
  • Evolutionary and swarm optimisation techniques: Due to the biological variability and complex experimental conditions, many of the data and parameters necessary to run the simulations of biological systems lack in literature. These approaches can be efficiently exploited to overcome this lack of information.
  • Systems dynamics analysis: Characterisation of the model dynamics exploiting both post-simulation and predictive techniques.
  • Membrane computing (Natural computing): They are formal methods of computation first introduced by G. Paun in 1998 as a new class of distributed and parallel computation “tools” inspired to the structure and functioning of cells. Beside their theoretical per se interest, their compartmentalised, parallel and discrete nature makes them a suitable framework for the mo- delling of biological systems on many scales, ranging from the cellular level to the ecological one of the metapopulations.

Visiting Experiences

  • Prof. Grzegorz Rozenberg at the “Theoretical Computer Science group at Leiden Institute of Advanced Computer Science (LIACS)” (The Netherlands)
  • Prof. Marian Gheorghe at “Department of Computer Science – University of Sheffield” (U.K.)
  • Prof. Mario de Jesus Perez Jimenez at “Department of Computer Science – University of Sevilla” (Spain).

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