TUM Physics-based Simulation group (Supervisor: Prof. N. Thuerey).
Developed a framework to embed physical knowledge in the diffusion process to build stochastic surrogate models leveraging flow matching.
TensorFlow, PyTorch, JAX.
Argonne National Laboratory
Argonne Training Program on Extreme-Scale Computing (ATPESC)
July 2024
Computer architectures, mathematical models and numerical algorithms.
HPC systems, and methodologies and tools relevant for Big Data applications.
C++ and Python.
MPI, OpenMP, OpenACC, CUDA
Politecnico di Milano
PhD student in Aerospace Engineering
November 2022 — Present
Rotor Blade Simulation: from High-Fidelity Simulations to Deep Learning Surrogate Models (Supervisor: Prof. A. Guardone).
High-fidelity simulations: RANS, hybrid RANS/LES, and LES.
ROMs: semi-empirical and machine-learning based.
KTH Royal Institute of Technology
Researcher
June 2022 — October 2022
High-performance computing.
Streaming data architectures, ADIOS2, data compression.
C++ and Python.
MPI, OpenMP, OpenACC, CUDA
German Aerospace Center (DLR) - Institute of Aerodynamics and Flow Technology
Researcher
September 2021 — May 2022
Employed in the framework of NextSim EU H2020 project.
Developer of modern algorithms and their highly parallel implementation in the next generation flow solver CODA (CFD for ONERA, DLR and Airbus) for efficient numerical flow simulation on massively parallel computing clusters.
C++ and Python.
Hybrid MPI/OpenMP parallelization.
Università degli Studi di Padova
Graduation to professional industrial engineer - Italian legislation
October 2021
Graduated with 60/60.
Politecnico di Milano
MSc in Aeronautical Engineering - Aerodynamics Curriculum
September 2019 — July 2021
Graduated with 110/110 cum Laude.
Thesis: An innovative scalable Lagrangian particle tracking approach for distributed-memory computation of dispersed phase flows (Supervisor: Prof. A. Guardone).
CINECA
Virtual School on Numerical Methods for Parallel CFD - Two Weeks
December 2020
State-of-the-art methodologies, numerical methods, and codes for hybrid multi-many core HPC clusters.
Università degli Studi di Padova
BSc in Aerospace Engineering
October 2016 — July 2019
Graduated with 110/110 cum Laude.
Thesis: Adaptive mesh refinement algorithms in diffusion problems (Supervisor: Prof. F. Picano).