معرفی
Miguel Á. Delgado is a Professor of Econometrics at Universidad Carlos III de Madrid, holding a Ph.D. in Economics from the London School of Economics. Previously, he served as an Assistant Professor at Indiana University. His academic roles include Editorships for journals like Econometric Theory and Journal of Econometrics. He has supervised 13 doctoral theses and teaches courses in Statistics and Econometrics across undergraduate and graduate levels.
- Education: Ph.D. in Economics (London School of Economics), Previous Position: Assistant Professor at Indiana University
His research focuses on econometric methodologies in non-parametric and semi-parametric models, with publications in top-tier journals such as Econometrica and Journal of the American Statistical Association. Recent work integrates machine learning and generative AI into educational technology, addressing challenges in hybrid learning environments, MOOCs, and predictive student analytics.
Publications highlight innovations in exercise modeling, telepresence classrooms, and AI-driven feedback systems, reflecting a dual focus on econometric theory and applied educational technology.
- Key Projects: Development of tools like ABENEARIO for early math education, and involvement in initiatives like PROF-XXI to enhance teaching competencies in the 21st century.
