Andrés is a data scientist and an ethnomusicologist. He is an experienced international researcher with interests that lie at the intersection between data science and the humanities. He helps our team with quantifying (ethno-)musicological variables to train better AI models and to make our Demo Music Observatory more valuable for its users. He also helps us reach out to potential partners in North America.
PhD in Ethnomusicology - Certificate in Comparative Literature and Society, 2020
MA in Latin American Studies, 2014
University of California, Berkeley
MSc in E-business and Network-Centred Computing, 2009
Erasmus Mundus program - University of Reading (UK), Aristotle University of Thessaloniki (Greece), Universidad Carlos III Madrid (Spain)