PhD in Mathematics, Universidad Autónoma de Madrid (2017)

Postgraduate Diploma in Big Data and Data Science, Universidad Autónoma de Madrid (2016)

MSc in Mathematics and Applications, Universidad Autónoma de Madrid (2013)

Analytics Manager, Lookiero, June 2022–September 2023

Senior Data Scientist, ING, April 2020–June 2022

AI Researcher and Data Scientist, BBVA, July 2018–April 2020

Data Scientist, Vueling, July 2017–January 2018

Predoctoral Fellow, Universidad Autónoma de Madrid, January 2014–June 2017

Salmeron, Jose L.; Arévalo, Irina; Ruiz-Celma, Antonio: “Benchmarking federated strategies in Peerto-Peer Federated learning for biomedical data”, Heliyon 9(6), Art. e16925, 2023.

Salmeron, Jose L; Arévalo, Irina: “A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Rough Sets: International Joint Conference, IJCRS 2020, Havana, 12179 LNAI, 477-487, 2020.

Arévalo, Irina; Vukotic, Dragan: “Weighted composition operators in functional Banach spaces: an axiomatic approach”, Journal of Spectral Theory, 10(2), 673-701, 2020.

Arévalo, Irina; Contreras, Manuel D; Rodríguez-Piazza, Luis: “Semigroups of composition operators and integral operators on mixed norm spaces”, Revista Matemática Complutense 32(3), 767-798, 2019.

Arévalo, Irina: “A characterization of the inclusions between mixed norm spaces”, Journal of Mathematical Analysis and Applications, 429(2), 942-955, 2015.