David José de Sousa is a physicist with a Master’s in Physics and a Bachelor’s in Engineering Physics from the University of Aveiro, both completed with distinction (17/20). The academic background emphasizes artificial neural networks, luminescence nanothermometry, and topological insulators, as highlighted in the master’s thesis and final degree project. Contributions to research groups such as QuantumTransport@UA and Phantom-g, CICECO, have supported advancements in areas including topological quantum memories and AI-assisted analysis of transient heating curves. Areas of interest span machine learning, condensed matter physics, and nanomagnetism, complemented by strong communication, adaptability, and problem-solving skills. Additional expertise has been gained through participation in programs like the LnMI Summer School and the Quantum Matter Autumn School.