Verónica Álvarez received the Bachelor’s degree in Mathematics from the University of Salamanca, Spain, in 2019 and Ph.D. degree in Computer Engineering from the University of the Basque Country, Spain, in 2023.
In 2019, she joined the Machine Learning group at the Basque Center for Applied Mathematics (BCAM) where she is currently working in the department of Data Science and Machine Learning. From April to July 2023, she was a visiting scholar at the University of California, San Diego (UCSD). Her main scientific interests include statistics, data science, and machine learning.
Verónica’s PhD thesis has received the Best PhD Thesis in the Field of Informatics and Artificial Intelligence awarded by the Spanish Society of Artificial Intelligence in 2024, and the Best Doctorate Thesis awarded by the University of the Basque Country in 2024. In addition, she has received the 2022 SEIO-FBBVA Best Applied Contribution in Statistics Field for her work on adaptive probabilistic forecasting.