Daniel Saiz González graduated from Universidad Politécnica de Madrid (UPM) in 2019 with a Bachelor of Science in Biomedical Engineering. He also completed a two-year MSc in Digital Innovation, with a specialisation in Data Science for Health, from UPM and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Prior to his current role, he worked for two years as a data science consultant at KPMG and Management Solutions.

He has been working as a researcher at Hospital de La Princesa since April 2023 and joined the group as a PhD student whose project aims to develop predictive models of migraine attacks using AI, in order to develop a personalised and targeted therapeutic strategy to reduce the chronification of migraine attacks.