Curriculum Vitae                 

  Curriculum - PDF, 08/06/2018.

  Personal Info

 
Born in Florence, February the 23rd, 1990.

Positions and Internships

  • November 2017 - present, Post Doctoral researcher at Institut de Recherche en Informatique de Toulouse (IRIT).

  •  November 2014 - October 2017, PhD in Mathematics, Information and Statistical sciences, curriculum in Mathematics. Università degli Studi di Firenze.

    • Advisor: Prof. Stefania Bellavia , Department of Industrial Engeneering - Numerical Analysis Section  
    • Research interests: development and implementation of numerical optimization methods such as regularized iterative methods for ill-posed nonlinear systems, Levenberg- Marquardt methods for large scale nonlinear noisy least squares problems.
    • Date of award: 07/03/2018
      • 2014-2017 Collaboration with Department of Industrial Engeneering, at Università degli Studi di Firenze. Topic: machine learning techniques (Support Vector Machines, Artificial Neural Networks) with applications to turbomachinery components design.
      • 2016-2017. 6 months visiting at INP-ENSEEIHT, Toulouse, for a collaboration with Prof. Serge Gratton on large-scale nonlinear least-squares problems with noisy function.
  •  February-June 2014, Internship at Enel Ingegneria e Ricerca, Pisa.

    • Topic: design and implementation of a Particle Swarm Optimization (PSO) and a Sequential Linear Programming (SLP) solver for the optimization of energy districts.

Education

  •  7 March 2018, PhD in Matemathics,  Università degli studi di Firenze.

    • Advisor: Prof. Stefania Bellavia, Università degli Studi di Firenze, Co-Advisor: Prof. Serge Gratton, IRIT, Toulouse, France.
    • Title : Levenberg-Marquardt methods for the solution of noisy nonlinear least squares problems
  •  15 October 2014, Master degree in Matemathics,  Università degli studi di Firenze.

    • Advisor: Prof. Stefania Bellavia, Università degli Studi di Firenze, Co-Advisor: Dott. Stefano Sello, Enel Ingegneria e Ricerca.
    • Title : Numerical methods for optimization problems: an application to energetic districts.
  •  17 October 2012, Bachelor degree in Mathematics,  Università degli Studi di firenze.

    • Advisor: Prof. Alessandra Papini, Università degli Studi di firenze.
    • Title: Euler's Gamma function and the trapezoidal rule.
    Scholarship awarded

  •  October 2014, Winner of a PhD scholarship at Università degli Studi di Firenze.
  •  October 2014, Winner of a PhD scholarship at Università degli Studi dell'Insubria.
  •  October 2014, Winner of a PhD scholarship at IMT (Institute for Advanced Studies) Lucca.
    Awards

  •   July 2017, Honorable mention for the talk: 'Parametric design of a family of centrifugal pumps: dealing with unbalancedness of geometries dataset', given for award sesion of the Summer School on Optimization, Big Data and Applications (OBA), Veroli, Italy.
  •   May 2016, Winner of the degree award 'Hansjörg Wacker Memorial Prize', jointly funded by ECMI (European Consortium of Mathematics in Industry) and by a consortium of institutions from Linz.
  •   October 2015, Winner of the degree award 'Premio Laurea Magistrale o Specialistica in Matematica ed Informatica', by Università degli Studi di Firenze.
  •   October 2015, Winner of the degree award 'Premio di Laurea Magistrale Mario Negri', by Fondo Mario Negri.
    Participation to research projects

  • 2017 INDAM-GNCS Project 'Numerical methods for large scale constrained optimization problems and applications', Coordinator: Prof. Luca Bergamaschi, Università di Padova.
  • 2016 INDAM-GNCS Project 'PING - Inverse Problems in Geophysics', Coordinator: Prof. Giuseppe Rodriguez , Università di Cagliari.
  • 2015 INDAM-GNCS Project ' Regularizing methods for optimization problems and applications', Coordinator: Prof. Stefania Bellavia, Università degli Studi di Firenze.
    Talks

  • Levenberg-Marquardt methods for the solution of noisy nonlinear least squares problems, IRIT Toulouse, France, 26/02/2018. <\li>
  • Levenberg-Marquardt method for nonlinear least-squares problems with noisy function and gradient, Manchester University, 23/01/2018. <\li>
  • Parametric design of a family of centrifugal pumps: dealing with unbalancedness of geometries dataset, award session of the Summer School on Optimization, Big Data and Applications (OBA), Veroli, Italy, 02/07/2017-08/07/2017.
  • A Levenberg-Marquardt Method for Large-Scale Noisy Nonlinear Least Squares Problems, SIOPT 2017, Vancouver, Canada, 22/05/2017-25/05/2017.
  • Levenberg-Marquardt method for ill-posed large scale nonlinear least squares prob- lems, OIP2016-Optimization Techniques for Inverse Problems III, Modena, 19/09/2016- 21/09/2016.
  • Support Vector Machine classification applied to the parametric design of centrifugal pumps, Congresso Nazionale SIMAI2016, Milano, 13/09/2016-16/09/2016.
  • Regularizing trust-region approaches for ill-posed nonlinear systems and nonlinear least squares, 20th Conference of the International Linear Algebra Society (ILAS), Leuven, Belgium, 11/07/2016-15/07/2016, invited speaker.
  • Numerical methods for optimization problems: an application to energetic districts, 19th European Conference on Mathematics for Industry, Santiago de Compostela, Spain, 13/06/2016-17/06/2016, invited speaker for receiving the degree award 'Hansjörg Wacker Memorial Prize'.
  • 'Solving ill-posed nonlinear systems with noisy data: a regularizing trust-region approach', "PING - Inverse Problems in Geophysics" Workshop Firenze, 6/04/2016.
  • A regularization trust-region approach for ill-posed nonlinear systems, Workshop 'Optimization and Data Assimilation', CERFACS, Toulouse (France), 13/01/2016-15/01/2016.
  •   On an Adaptive Regularization for Ill-posed Nonlinear Systems and its Trust-Region Implementation Networking in Numerical Analysis 2015 a two day meeting in Bertinoro', Bertinoro, Italy, 21/11/2015-22/11/2015.
  •  On an Adaptive Regularization for Ill-posed Nonlinear Systems and its Trust-Region Implementation ,  XX Congresso UMI, Siena, Italy, 12/09/2015.
    Summer schools

  • Summer school on optimization, big data and applications (OBA), Veroli, Italy, 02/07/2017-08/07/2017.
  •   June 21-26, 2015, CIME course 'Exploiting Hidden Structure in Matrix Computations. Algorithms and Applications', Cetraro (CS), Italy.
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