• 2017 Phd in Applied Physics (Nanoscience and advanced technologies), University of Verona, Italy. Thesis title: “Community detection in the modular structure of brain functional connectivity networks”.
  • 2008 M.Sc in Biomedical Physics, Grade 110/110 cum laude, University of Trento, Italy.
  • 2003 B.Sc in Physics, University of Trento, Italy.

Seminars

  • July 2019 Lipari Workshop on Complex Systems: Scale resolved analysis of complex networks Download
  • June 2018 Netsci2018, Paris. Thermodynamics of network model fitting with spectral entropies. Download
  • May 2016 CCS2016 Amsterdam, Community detection in brain functional networks beyond the resolution limit. Download

Experience

  • Now (2017-2018): Postdoctoral fellow

I’m currently involved in developing new computational methods for the analysis of modular structure of brain functional connectivity networks with the tools of quantum information, information theory and complex networks theory. I’m carrying out my research currently at the BrainetLab of Angelo Bifone, in the CNCS, Istituto Italiano di Tecnologia. I am the developer of the networkqit package, a Python package to do computations in the framework of spectral entropies of complex networks.

  • Spring-Summer 2017

Visiting researcher at Lorentz Institute for Theoretical Physics, Leiden, The Netherlands. Working on random matrix theory, generative models of human brain connectivity and community detection, under the guidance of Prof. Diego Garlaschelli.

  • 2012-2017 System administrator for high performance computing

Maintainance of a small computational cluster, experience in high performance computing, parallel computing (Matlab parallel computing toolbox) and CUDA parallel capabilities.

  • 2011 Software consultant at Brown University (USA)

Development, testing and installation a full virtual reality system at the cognitive neuroscience department of Brown University, Providence (RI), USA http://bit.ly/IoyXV2.

  • 2010–2017 Scientific programmer at Istituto Italiano di Tecnologia

Working as the main developer of the C++ and Matlab/Psychtoolbox codebase for cognitive neuroscience experiments at the CNCS@IIT research group. Expertise in big C++ projects development and maintenance as well as robust foundations in algorithms, numerical analysis, matrix computation and data structures.

  • 2008-2010 Research fellow on Machine learning and intelligent optimization

Working on human activity recognition with statistical pattern recognition tools such as SVMs, ANNs, and probabilistic graphical models (HMMs and LCRFs). Experience in machine learning and numerical optimization http://bit.ly/IokSWd.