Matteo Calafà
PhD student at DTU
Full CV is available on request.
Experience
Ongoing
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March 2025
PhD student
Technical University of Denmark (DTU)
Copenhagen (Denmark)
Doing research on scientific machine learning for 6DoFs augmented/mixed reality audio rendering. Department of electronic and photonics engineering, supervised by professor Cheol-Ho Jeong and Allan P. Engsig-Karup.
February 2025
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March 2024
Research assistant
Aarhus University
Aarhus (Denmark)
Developed complex-valued physics-informed neural networks for solving the linear elasticity problem in solid mechanics. Department of mechanical and production engineering, supervised by professor Tito Andriollo and Allan P. Engsig-Karup.
February 2024
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October 2023
Computational engineer
Microstudio S.R.L.
Besnate (Italy)
Contributing to the C++ and CUDA library for the 3D reconstruction of torsion springs through numerical and computer vision methods. The machine made is now a cutting edge technology in the domain of spring measurement.
June 2023
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March 2023
Research collaborator (internship)
Swiss federal institute of metrology (METAS)
Bern (Switzerland)
MSc thesis on the Swiss fountain atomic clock: finite element analysis and Monte Carlo simulations of the background molecular dynamics. Obtained the highest grade from EPFL.
June 2023
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September 2022
Simulation specialist (internship)
Kamstrup A/S
Skanderborg (Denmark)
Analysis and C++/MPI implementation of discontinuous Galerkin methods for the simulation of ultrasounds in fluids.
February 2022
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June 2022
Teaching assistant
École Polytechnique Fédérale de Lausanne (EPFL)
Lausanne (Switzerland)
Student job as assistant for the course of Analyse Numérique for the bachelor in mathematics. Professor Annalisa Buffa.
Education
September 2023
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September 2021
Computational Science and Engineering, MSc
École Polytechnique Fédérale de Lausanne (EPFL)
Grade: 5.82/6
Main courses: machine learning, stochastic simulation, computational fluid dynamics, image processing.
July 2023
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September 2020
Mathematical Engineering, MSc
Polytechnic of Milan (PoliMi)
Grade: 110/110 cum laude
Main courses: numerical analysis for PDEs, advanced programming, fluid dynamics, functional analysis.
July 2020
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September 2017
Mathematical Engineering, BSc
Polytechnic of Milan (PoliMi)
Grade: 109/110
Main courses: Calculus, mechanics, analysis of PDEs, statistics, numerical analysis.