Doctora en Matemáticas, Universidad Autónoma de Madrid (2017).

Título de Experta en Big Data y Data Science, Universidad Autónoma de Madrid (2016).

Máster en Matemáticas y Aplicaciones, Universidad Autónoma de Madrid (2013).

Analytics Manager, Lookiero, junio 2022 - septiembre 2023.

Senior Data Scientist, ING, abril 2020 - junio 2022.

AI Researcher and Data Scientist, BBVA, julio 2018 - abril 2020.

Data Scientist, Vueling, julio 2017 - enero 2018.

Investigadora predoctoral, Universidad Autónoma de Madrid , enero 2014 - junio 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.