José Ángel Martín Baos is Assistant Professor (PhD) at the Escuela Superior de Informática, University of Castilla-La Mancha. He is a member of the Mathematic Department at the same institution. His research interests include machine learning, artificial intelligence, optimization, and discrete choice models. He is a member of the MAT (Modelos y Algoritmos en Sistemas de Transportes) research group at the University of Castilla-La Mancha. He has published several articles in high-impact international journals and conferences. He has also been involved in various national and regional research projects.

José Ángel completed his Bachelor’s and Master’s degrees in Computer Engineering at the University of Castilla-La Mancha in 2018 and 2019, respectively, receiving the extraordinary award for academic excellence in both degrees. In 2019, he began his PhD studies in Advanced Computer Technologies at the same university, and in 2023, he successfully defended his doctoral thesis with international mention and receiving the highest honors of summa cum laude, with a unanimous decision. Additionally, in September 2024, he received the 21st Spanish Abertis Award for sustainable mobility for the work carried out in his doctoral thesis. During his PhD, José Ángel conducted a research stay at the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.

Since 2019, José Ángel has also been involved in teaching undergraduate courses in Applied Mathematics. In particular, has taught several courses in Computer Engineering, especially in Calculus and Numerical Methods, and Algebra and Discrete Mathematics. He has actively participated in organizing various activities related to computer science and mathematics education, such as the Informatics Olympiad of Castilla-La Mancha and the Hackathon at the School of Computer Science. He also holds the position of coordinator for the Bilingual Degree in Computer Engineering at this institution.

José Ángel is a staunch proponent of open access to publications and code. A significant portion of his research is readily accessible as preprints on platforms like or through his personal website at . Moreover, he has made the code implementations of his published articles available in his GitHub repository located at .