Doctoral thesis financed by the General State R&D&I Plan under the project "Techniques for reducing the number of numerical data and heterogeneous multi-attribute data to enhance their fusion in artificial intelligence problems."During the 2023-2024 academic year, I have been an assistant lecturer for Optimization III and Simulation in the Data Science program.

I had the honor of being a junior AI researcher in collaboration with the University of Navarra, Tracasa Instrumental, and the University Hospital of Navarra. During this time, I developed an automatic IMRT treatment selection methodology using a hybrid system that combines neural models with expert systems. Additionally, I created a synthetic dosimetry generation system using probabilistic diffusion models.This work is published in the proceedings of the WCCI 2024 conference under the name of "A Rule-Based Approach for Interpretable Intensity-Modulated Radiation Therapy Treatment Selection"

I was honored to serve as a Research Fellow at the Public University of Navarra, where my work focused on the dynamic intersection of Brain-Computer Interfaces, Electroencephalography, and Artificial Neural Networks.

Health data scientist. Focused on the development of new innovative applications related to the management of hospital resources and the improvement of patients quality of life.

Participant of the UPNAvarra_Spain team in the IGEM synthetic biology competition.☆Gold medal award.