Carlos Herrera Yagüe
About Carlos Herrera Yagüe
Carlos Herrera Yagüe is the Chief Technology Officer at Cabify, leading a team of over 250 professionals in the Greater Madrid Metropolitan Area. He has extensive experience in data science, research, and innovation, having previously worked at CARTO, Traity, and MIT.
Chief Technology Officer at Cabify
Currently, Carlos Herrera Yagüe serves as the Chief Technology Officer at Cabify, a role he has held since 2020. He leads a team of over 250 professionals across engineering, data, product, design, and research. Carlos is responsible for transitioning Cabify to multidisciplinary teams that set their own goals and execute accordingly, all the while focusing on identifying and coordinating opportunities that arise from technological changes to improve urban mobility.
Previous Roles at Cabify
Carlos has held several key roles at Cabify prior to becoming the Chief Technology Officer. From 2018 to 2020, he was the VP of Data & Research, a role in which he focused on leveraging data to drive research initiatives. Before that, he served as the Head of Data Science & Research from 2017 to 2018. During these years, he contributed significantly to the company's data research and development functions, helping to shape its data-driven strategies.
Work Experience at CARTO
Carlos worked at CARTO as a Data Advisor from 2019 to 2023. Based in the Madrid Area, Spain, he spent four years at the company, where he provided expert advice on data-related matters. His role was crucial in advancing CARTO's initiatives focused on geographic data and spatial analysis.
Research and Academic Background
Carlos Herrera Yagüe has a rich academic background. He was a Big Data Fellow at the Massachusetts Institute of Technology (MIT) in 2014 and also served as a Research Assistant there from 2012 to 2013. Furthermore, he was a PhD researcher on complex networks at Universidad Politécnica de Madrid - Cátedra Orange from 2010 to 2013. His research contributions have been centered around complex networks and big data.
Educational Background in Math and Engineering
Carlos has an extensive educational background. He studied Electrical Engineering at Universidad Politécnica de Madrid, achieving Telecomunications from 2004 to 2009. He attended the University of Cambridge's Ignite Programme in 2013. Additionally, he completed a Máster on Statistic and Computational Information Treatment at Politécnica & Complutense Madrid from 2010 to 2011. He holds a Doctor of Philosophy (PhD) in Applied Math from Universidad Politécnica de Madrid, completed over an extended period from 1970 to 2017.