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Juan S. Moreno Pabón currently works at Pinpoint Predictive, a Stanford StartX that enables insurers to more effectively forecast and influence human behavior. As a Senior Research Data Scientist, he is in charge of a range of cutting-edge AI research and development projects to further advance in digital psychometrics. Previous to joining Pinpoint, he spent four years as a Researcher, and later as the Associate Director of the Data Mining Department, Quantil, a top consultancy in applied math and machine learning. He led teams of researchers and developed a wide variety of AI-powered solutions across different sectors, including healthcare, public security, banking, transport, education, legal, and manufacturing, among others. He also worked as an Adjunct Professor with the Faculty of Economics at his Alma Mater, Universidad de los Andes, where he’s taught courses on discrete math, macroeconomics, machine learning, Python, and R for data analysis. As a Computational Social Scientist, he has researched topics related to crime prediction, fairness in machine learning applications, and segregation in social networks. He also serves on the Board of Directors of the Center of Analytics for Public Policy (CAPP).
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2021 International Conference on Applied Artificial Intelligence (ICAPAI)pp.1-6, (2021)
Hamadys L. Benavides Gutiérrez,Óscar Gómez,Mateo Dulce Rubio,Paula Rodríguez Díaz,Álvaro J. Riascos Villegas,Juan S. Moreno Pabón
2021 2nd International Conference on Computing and Data Science (CDS)pp.337-343, (2021)
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