Curriculum Vitae

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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)

Research and Teaching Experience

• April 2026 – Present: Research Scientist — Physics-Informed AI
  • Autodesk Research, π-Labs, London, UK
  • Activities: Bridging data-driven AI approaches with traditional physics-based models for advanced simulation and design applications.
• Aug 2025 – March 2026: Postdoctoral Researcher
  • Department of Energy, Politecnico di Milano, Milan, Italy
  • Activities: Development, verification and validation of Reduced-Order Models for two-phase flow simulations in the oil & gas sector, 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

Professional Affiliations

• Member, Associazione Italiana Nucleare (AIN), Young Generation, Italy (2025 – Present)
• Member, American Nuclear Society (ANS), Mathematics & Computation Division, Young Generation, USA (2025 – Present)

Skills

• Operating Systems: MacOS, Linux, Windows
• Languages: Python (advanced), C++ (intermediate), VisualBasic (intermediate), R (basic)
• Numerical Computing: MATLAB, Simulink
• Finite Element Solvers: Dolfinx (Python Package), 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 (documentation)
• pyforce – Python framework for data-driven model order reduction of multi-physics problems (documentation)
• NuSHRED – Shallow Recurrent Decoder for Nuclear Reactors applications
• PySHRED – Package for Shallow Recurrent Decoding (documentation)
• ctf4science – Modular platform for benchmarking methods on dynamic systems (documentation)

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)

Peer-Review Activity

Reviewer of manuscripts for international peer-reviewed journals in nuclear engineering, fluid dynamics, computational methods, and scientific machine learning (Nuclear Engineering and Design, Physics of Fluids, Applied Mathematical Modelling, Computer Physics Communications, Journal of Computational Physics, Annals of Nuclear Energy, Applied Energy, and Progress in Nuclear Energy).

Co-Supervision of Master’s Theses

• Claudio Scardino (2026), State Estimation in Magnetohydrodynamics: from interpolation to recurrent networks, Politecnico di Milano
• Daniele Valisa (2026), Data-Driven Signal Reconstruction for Fault Tolerance in Molten Salt Reactors, Politecnico di Milano
• Tommaso Pirola (2026), Initial development and verification of a Digital Twin for Molten Salt Fast Reactor under accidental conditions, Politecnico di Milano
• Finn Bowcott (2025), Predicting spatial-temporal systems from sparse and movable observation points using deterministic machine learning methods, Imperial College London
• Claudio Stecchetti (2025), Model Discovery for Fluid and Reactor Dynamics with Parametric Dynamic Mode Decomposition, Politecnico di Milano
• Cyrille de Lurion de l’Egouthail (2024), Shadowing Effect Correction for the Pavia TRIGA Reactor Using Monte Carlo Data and Reduced Modelling Techniques, Politecnico di Milano