Jorge Poco

Associate Professor at FGV EMAp School of Applied Mathematics, FUNDAÇÃO Getúlio Vargas - FGV, Rio de Janeiro, Brazil. Previously he was an assistant professor at the San Pablo Catholic University and a research associate at the University of Washington. He obtained his Ph.D. in Computer Science from New York University, an M.S. in Computer Science from the University of São Paulo, and a B.E. in System Engineering from the National University of San Agustin. As part of his professional life, he worked in zAgile, Google, Kitware, Oak Ridge National Laboratory, and Xerox Research.

His research has focused on data visualization, data science and machine learning. He has participated in projects on information visualization, scientific visualization, and visual analytics. His works includes interdisciplinary collaborations that focused on the development of novel visualization methods to enable both climate and urban data analysis. He is also interested in techniques for automatic chart interpretation.

Areas of interest: 

  • Data Visualization
  • Data Science
  • Computer Graphics and Applications
  • Automatic Graph Interpretation
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