Pablo Herrero Gómez holds a Bachelor’s degree in Computer Engineering and Business Administration from the University of Alicante, where he also completed a Master’s degree in Artificial Intelligence. He is currently a PhD candidate in Computer Engineering at the University of Alicante, conducting research within the Quantum Computing research line.

His research interests lie at the intersection of artificial intelligence, mathematical modeling, and quantum computing, with applications to both physical systems and financial analysis. He is the first author of the paper “Physics-Informed Neural Networks for the Harmonic Oscillator”, presented at the 17th International Conference on Computer Modeling (2025), which explores physics-informed neural models for dynamical systems. He is also a co-author of the work “Quantum Computing Models for Financial Analysis”, presented at the International Conference on Modelling, Computation and Optimization, focusing on the application of quantum computing models to financial data analysis.