Summary
Romin Tomasetti is a PhD student in Aerospace and Mechanical Engineering at the University of Liège with eight years of experience bridging physics, mechanics, and computational modelling. Trained in engineering physics, he developed strong C++ and Python skills during his master's and as a research engineer at Noesis Solutions, where he built and validated numerical models. He teaches numerical analysis and the Finite Element Method, translating theoretical PDEs into practical simulations and mentoring younger students. Now focused on blending classical PDE solvers with neural-network approaches, he explores physics-informed machine learning to accelerate and generalize simulations. Based in Liège, Romin combines hands-on coding, academic research, and practical engineering experience to tackle challenging multiphysics problems.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Engineering Physics, Master's degree, Engineering Physics at University of Liège