Computational physicist · Engineering Physics MSc
Six years of first-principles materials modelling at the University of Aveiro and i3N, four years teaching computational physics, and a habit of turning messy physical problems into code that produces numbers you can trust. Now in the Paris area, open to scientific computing, R&D engineering and simulation roles.
First-principles modelling of materials for energy and electronics: boron defects in amorphous silicon, kesterite photovoltaics (Cu₂ZnSnS₄), electronic coupling in nanocrystal solids. ABINIT and VASP on HPC clusters, FCT projects, NATO eSicure radiation detectors.
Lab courses for 300+ second-year students in Electricity & Magnetism, Simulation & Modelling (MATLAB) and Computational Physics. Wrote all lab materials, exercises and assessment criteria.
Numerical modelling, post-processing pipelines, exploratory data analysis and technical writing for mixed theory and experiment audiences. A custom invoicing tool built to run a two-year consulting practice.
It is not the charge on an ion. It is how much the polarisation of a crystal changes when you nudge that ion, and it is the quantity behind LO–TO splitting.
Chaos has a speed. For the Lorenz system it is about 0.906 per unit time, and it sets how far ahead any forecast can see. Measuring it takes thirty lines of code.
