Jorge Luis Poco Medina

He is an Associate Professor at the School of Applied Mathematics (EMAp) of Fundação Getulio Vargas (FGV). Previously, he was an Assistant Professor at San Pablo Catholic University (UCSP) and an Associate Researcher at the UW Interactive Data Lab (IDL) at the University of Washington, where he worked with Jeffrey Heer. He earned his PhD from the NYU Tandon School of Engineering in 2015 under the supervision of Claudio Silva. He also holds an M.S. in Computer Science from the Institute of Mathematics and Computer Science (ICMC) at the University of São Paulo (USP), Brazil (2010), and a B.E. in Systems Engineering from the National University of San Agustin (UNSA), Peru (2008).

As part of his professional career, he worked as a software engineer at zAgile Inc. in 2008 and completed internships at Google Inc. (2008 and 2010), Kitware Inc. (2011), Oak Ridge National Laboratory (2012), and Xerox Research (2013).

His research focuses on data visualization, data science, and machine learning. He has participated in projects involving information visualization, scientific visualization, and visual analytics. His work includes interdisciplinary collaborations dedicated to developing new visualization methods to support the analysis of climate and urban data. He is also interested in techniques for the automatic interpretation of charts and graphs.