معرفی
Pablo A. Astudillo Estévez is an Assistant Professor at the School of Economics, Universidad San Francisco de Quito (USFQ), where he also serves as Director of the USFQ Data Hub. He holds affiliations as an Associate Researcher at the Institute for New Economic Thinking (INET), University of Oxford, and as External Faculty at the Complexity Science Hub, Vienna. He is concurrently working as a Data Scientist at the World Bank-IBRD in the Finance, Competitiveness, and Innovation Global Practice.
His research interests lie at the intersection of computational social science, economic geography, and complexity economics. He specializes in analyzing large-scale datasets to understand economic spatial dynamics, innovation ecosystems, and the structure of production and supply networks. His work applies network science and machine learning to reconstruct and model firm-level economic interactions, with implications for systemic risk, inequality, and policy design.
His recent publications focus on reconstructing firm-level input-output and supply chain networks, analyzing inequality in exposure to economic shocks, and understanding the foundational structures of economic complexity. These works reflect a strong trend toward data-driven, micro-founded models of economic systems, leveraging machine learning and complexity science.
Scientific Affiliations and Roles:
- Assistant Professor, School of Economics, USFQ
- Director, USFQ Data Hub
- Associate Researcher, INET Oxford
- External Faculty, Complexity Science Hub, Vienna
- Data Scientist, World Bank-IBRD
- Former Research Fellow, Harvard Growth Lab
- Former Visiting Fellow, MIT Media Lab
He has advised governments and private sector institutions and has consulted for the Inter-American Development Bank. His international experience spans institutions in the UK, USA, Japan, South Korea, and Romania. He earned his doctorate in Economic Geography and Complexity Economics from the University of Oxford.
He is actively engaged in building research capacity in Ecuador and promoting data science applications in economic development. He is also vocal about academic and research challenges in Ecuador, particularly regarding funding and ecosystem support.
