Marcos Rubio Rubio

CTO & Co-Founder at Tucuvi

Marcos Rubio Rubio has a diverse work experience in the field of healthcare and artificial intelligence. Marcos worked as the CTO and Co-Founder at Tucuvi, where they focused on making healthcare more accessible and efficient through an AI voice-based virtual care platform. Prior to that, they worked as an AI Researcher at MMG, specializing in developing deep learning algorithms for medical image recognition and NLP projects. Marcos also gained experience as a Lead Algorithm Engineer at PlenOptika, where they conducted machine learning research and incorporated client requirements into the software of a medical device. Additionally, they worked at Deloitte Digital and Universidad Miguel Hernandez de Elche, where they focused on big data analysis and conducted research. Marcos has a strong background in software development, advanced ophthalmologic research, and data analysis.

Marcos Rubio Rubio's education history is as follows:

Marcos attended Universidad Carlos III de Madrid from 2013 to 2017, where they obtained a degree in Biomedical Engineering. During this time, they also pursued a semester of studies in Biomedical Engineering at Nanyang Technological University in Singapore from 2015 to 2016.

In 2017, Marcos continued their studies at Universidad Carlos III de Madrid by enrolling in a Master's program in Multimedia and Communications. Marcos completed this program in 2018, specializing in Data Science and Machine Learning.

Marcos further expanded their knowledge in the field of data analytics by completing a Big Analytics Expert Course at Universidad Carlos III de Madrid in 2017.

In 2018, Marcos pursued another educational opportunity by attending the University of Deusto. Marcos completed a Citizen Bootcamp program there in 2019, focusing on Business Administration and Management.

Overall, Marcos has pursued a multidisciplinary education, starting with a foundation in Biomedical Engineering and later expanding into the fields of data science, machine learning, big data, and business administration.

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