Areas of expertise

  • Aerospace Structures
  • Composites
  • Computing, Simulation & Modelling
  • Lightweighting & Crashworthiness
  • Smart Materials

Background

I’m an ambitious and versatile aerospace engineer with an international background in advanced materials, numerical simulation, and project management acquired in Italy, UK, France, and Germany.

Currently fulfilling my professional role as a research engineer at DPS - Digital Product Simulation in Paris, France, my activity is focused on providing digital continuity solutions and expertise in the development of products and complex systems for the aerospace Industry 4.0 field.

In particular, I'm working as an external specialist for Airbus Helicopters in France and Germany. Here, I'm contributing to the implementation of an SPDM (Simulation Process and Data Management) platform, built on Dassault Systèmes’ 3DEXPERIENCE® solution, by integrating business needs from several Airbus Helicopters lead functions and defining capabilities targeting business releases for advancing the platform’s deployment.

Driven by a passion for research, I'm pursuing a PhD in Aerospace at Cranfield, focusing on the "AI-driven design and optimization of novel lightweight mechanical metamaterials for aerospace applications". This research aims to establish the design of novel mechanical metamaterials structures powered by advanced Machine Learning technologies, harnessing the potential to significantly impact aerospace structures' performance and durability.

Previously, I’ve been a postgraduate student at ISAE-Supaero in Toulouse, France, for the Mastère Spécialisé in Aerospace Project Management in collaboration with ENAC and École de l'Air. Moreover, I have completed with Distinction an MSc in Advanced Lightweight and Composite Structures at Cranfield, with a thesis on “Multi-objective shape optimization of large strain 3D helical structures for mechanical metamaterials”, and a BSc in Aerospace Engineering at Politecnico di Milano in Milan, Italy.

At Cranfield, I've been awarded the "Vice-Chancellor's Prize 2022 for outstanding academic performances", a unique prize assigned each year to the most outstanding graduate student across the whole university.

Through my education and the projects I have developed, I have acquired relevant technical skills in aerospace structures, finite element analysis, machine learning and advanced computing, coupled with competencies in agile project management, lean product development and digitalization.

Research opportunities

Artificial Intelligence applications in aerospace materials: utilising Machine Learning for predictive modelling, inverse design and structural analysis of advanced aerospace materials; developing physics-informed Neural Networks for advanced structural design.

Shape and topology optimisation techniques: investigating the application of Genetic Algorithms for solving multi-objective optimisation problems in structural design; utilizing topology optimisation methods to achieve lightweight and efficient structural designs.

Metamaterials and lattice structures development: developing advanced methodologies for the design and optimisation of metamaterials in aerospace applications; exploring novel approaches to enhance the mechanical properties of advanced metastructures through optimisation techniques; investigating potential applications of metamaterials and lattice structures in sectors outside aerospace.

Crashworthiness and manufacturability of advanced aerospace structures: investigating the structural integrity, manufacturability, effects of defects and performance of aerospace components and systems; assessing the effects of low and high-velocity impacts on aerospace structures and improving their crashworthiness and dimensional stability.

Publications

Articles In Journals