I hold a M.Sc. in Physics (2007) and a PhD in Applied Mathematics (2012). Before joining SIRIS, I have been a university postdoc researcher for four years, gaining considerable experience in studying complex systems. I am the co-author of several scientific publications in major peer-reviewed international journals and I have been a speaker in many international top scientific conferences.

My background in statistical mechanics provides me with the tools to look for mathematical laws to explain why a complex system made of many small units (much like a university composed of students and researchers) shows a certain global behaviour (such as the university performance in international rankings). Specifically, I have good knowledge of typical spin glass mathematical methods and strong competences in constraint–based models and network theory. I am also an avid programmer, routinely coding in C, Python, R and Mathematica. I am also skilled in data retrieval, treatment and analysis.

My goal at SIRIS is to analyse the large amount of data produced by higher education and research institutions and to come up with mathematical models that can give quantitative insights to support SIRIS strategic consulting.

Research interest(s): Complex systems, mathematical modelling, data science/mining/analysis


  • Multilayer stochastic block models reveal the multilayer structure of complex networks, Valles-Catala, T, Massucci, FA, Guimera, R, Sales-Pardo, M., Phys. Rev. X 6 , 011036 (2016). http://dx.doi.org/10.1103/PhysRevX.6.011036
  • Scaling and optimal synergy: Two principles determining microbial growth in complex media, Massucci, FA, Guimera, R, Amaral, LAN, Sales-Pardo, M., Phys. Rev. E 91 , 062703 (2015). http://dx.doi.org/10.1103/PhysRevE.91.062703
  • Cavity approach for modeling and fitting polymer stretching, Massucci, FA, Pérez Castillo, I, Pérez Vicente, CJ., Phys. Rev. E 90 , 052708 (2014). http://dx.doi.org/10.1103/PhysRevE.90.052708
  • Energy metabolism and glutamate-glutamine cycle in the brain: a stoichiometric modeling perspective, Massucci, FA, DiNuzzo, M, Giove, F, Maraviglia, B, Pérez Castillo, I, Marinari, E, De Martino, A., BMC Systems Biology 7 , 103 (2013). http://dx.doi.org/10.1186/1752-0509-7-103
  • On the role of conserved moieties in shaping the robustness and production capabilities of reaction networks, De Martino, A, Martelli, C, Massucci, FA, EPL 85 , art. no. 38007 (2009). http://dx.doi.org/10.1209/0295-5075/85/38007


Personal page of Francesco at ResearchGate:

E-mail: francesco.massucci@sirisacademic.com

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