CV ESPAÑOL
Pablo Astudillo-Estevez is a computational social scientist, currently an Assistant Professor at the School of Economics at Universidad San Francisco de Quito (USFQ) and leads the USFQ Data Hub. Also, Pablo is a associate fellow at the Institute for New Economic Thinking at the University of Oxford, and external faculty at the Complexity Science Hub - Vienna. Former research fellow at the Growth Lab at Harvard University, and visiting fellow at the Massachussets Institute of Technology's Media Lab. Global Complexity School's Alumnus by Santa Fe Institute. His main interest lies in understanding how economies and places evolve, learn and finding ways to unlock their potential to create knowledge and innovate. More specifically, by analyzing massive data sets, Pablo studies the dynamics of the economic landscape that enable places (specially in the Global South) to become innovative and to climb the technology ladder.
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Pablo is a Data Scientist in the Finance, Competitiveness & Innovation Global Practice at the World Bank - IBRD, he has worked as consultant for the Inter-American Development Bank, and also advices governments and the private sector on ways to develop the foundations for sustainable, technology-enabled economies as well as to harness the power of disruptive technology and data to solve development challenges.
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Pablo has more than 15 years of experience in sustainable development and climate change. He was part of the Ecuadorian delegation that negotiated the UN Sustainable Development Goals in Rio + 20 and the Paris Agreement at COP 21. Winner of the World Bank’s Development Prize - Ecuador and several academic awards.
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Pablo has worked and/or lived in more than 15 countries in 5 continents. He practices archery and enjoys playing the piano and the bass guitar.