Curriculum Vitae
Education
- Ph.D. Degree cum Laude in Energy and Nuclear Science and Technology, Politecnico di Milano, Milan, Italy (May 2022 – Oct 2025)
- Thesis title: “Advanced Data-Driven Techniques for State Estimation in Nuclear Reactors”
- Supervisors: Prof. Antonio Cammi, Dr. Carolina Introini, Prof. J. Nathan Kutz
- Qualification to practice Engineering Profession, Milan, Italy (March 2024)
- Master’s Degree cum Laude in Nuclear Engineering, Politecnico di Milano, Milan, Italy (Sep 2019 – Dec 2021)
- Thesis Title: “Reduced basis methods for data assimilation in real thermal hydraulics systems”
- Supervisors: Prof. Antonio Cammi, Prof. Stefano Lorenzi, Dr. Carolina Introini
- Bachelor’s Degree in Energy Engineering, Politecnico di Milano, Milan, Italy (Oct 2016 – Sep 2019)
Work Experience
- April 2026 – Present: Research Scientist
- Physics-Informed AI/ML, Autodesk Research, London, UK
- Activities: Bridging data-driven AI approaches with traditional physics-based models for advanced simulation applications.
- Aug 2025 – March 2026: Research Collaborator
- Department of Energy, Politecnico di Milano, Milan, Italy
- Activities: Development, verification, and validation of Reduced-Order Models for two-phase flow simulations in collaboration with Eni Spa.
- Supervisors: Prof. Antonio Cammi and Prof. Fabio Inzoli
- Oct 2024 – March 2025: VISIT Intern
- Electrical and Computer Engineering Department, University of Washington, Seattle, USA
- Activities: SHallow REcurrent Decoder (SHRED) networks for State Estimation in Nuclear Reactors.
- Supervisor: Prof. J. Nathan Kutz
- Teaching Assistant, Fission Reactor Physics 1 course (A.Y. 2022/2023 – 2023/2024, II Semester)
- Politecnico di Milano, Milan, Italy
- Supervisor: Prof. Antonio Cammi
Skills
- Operating Systems: MacOS, Linux, Windows
- Languages: Python (advanced), C++ (intermediate), VisualBasic (intermediate), R (basic)
- Numerical Computing: MATLAB, Simulink
- Finite Element Solvers: Dolfinx (Python), Freefem++ (basic)
- CFD: OpenFOAM, Ansys FLUENT (basic)
- Machine Learning: scikit-learn, PyTorch
- Developer Tools: Git, Visual Studio Code, Jupyter
- Other: Microsoft Office, iMovie
Language Skills
- Italian (native)
- English (fluent, TOEIC Certification 930/990, Feb 2019)
Research Interests
- Scientific Machine Learning techniques for Fluid Dynamics and Nuclear Reactors
- Multi-physics Modelling of Nuclear Reactor
- Reduced Order Models and Data Assimilation
- Computational Fluid Dynamics
- Numerical Methods for Engineering
Awards
- 2nd Prize at Italian PhD Nuclear Talent Award, Associazione Italiana Nucleare (AIN), 12 March 2026
- Best Research Contribution Award (co-author), SCOPE2 Conference, 05 November 2025
- Young Professional Award, NURETH-21 Conference, 02 September 2025
- ENEN PhD Prize, European Nuclear Education Network (ENEN), 15 May 2025
- Young Author Award (co-author), NENE2024 Conference, 12 September 2024
- Best Student Paper Award, NUTHOS-14 Conference, 28 August 2024
- Best Paper Award, ICAPP-2023 Conference, 26 April 2023
- Best Master Thesis in Engineering, Cultural Association CISE2007, 27 September 2022
CISE2007
NUTHOS-14
ENEN PhD Prize 2025
NURETH-21
Selected Github Repositories
- pyISFenix – Python framework for the Incompressible Schrödinger Flow using FEniCSx
- pyforce – Python framework for data-driven model order reduction of multi-physics problems
- NuSHRED – Shallow Recurrent Decoder for Nuclear Reactors applications
- PySHRED – Package for Shallow Recurrent Decoding
- ctf4science – Modular platform for benchmarking methods on dynamic systems
Volunteering Experience
- Football Coach, A.S. Stella Azzurra ‘56, Cinisello Balsamo, Italy (Sep 2012 – June 2017)
- Theatre Actor, Depramirao company, Cinisello Balsamo, Italy (Apr 2013 – Nov 2014)
- Adolescents’ Educator, Oratorio San Luigi, Cinisello Balsamo, Italy (Sep 2014 – Sep 2020, Sep 2022 – Sep 2024)