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Tiago Etiene received his computer science and M.S. degrees from the University of Sao Paulo in 2006 and 2008, respectively, and his Ph.D. degree from the University of Utah in 2013. His research on the field of verifiable visualizations serves as the basis for this book. In addition, his research interests include geometry processing, computer graphics, scientific and information visualization, and related areas. He is a research scientist at Modelo Inc. working with cutting-edge geometry processing tools tailored to geosciences applications.Tiago Etiene received his computer science and M.S. degrees from the University of Sao Paulo in 2006 and 2008, respectively, and his Ph.D. degree from the University of Utah in 2013. His research on the field of verifiable visualizations serves as the basis for this book. In addition, his research interests include geometry processing, computer graphics, scientific and information visualization, and related areas. He is a research scientist at Modelo Inc. working with cutting-edge geometry processing tools tailored to geosciences applications.Claudio T. Silva is a professor of computer science and engineering and data science at New York University. Claudio's research lies in the intersection of visualization, graphics, data analysis, and geometric computing, and recently he has been interested in urban data and sports analytics. He has published over 220 journal and conference papers, and he is an inventor of 12 U.S. patents. He received a B.S. in mathematics from the Federal University of Ceara (Brazil) in 1990, and a Ph.D. in computer science from State University of New York at Stony Brook in 1996. He has held positions in academia and industry, including at AT&T, IBM, Lawrence Livermore, Sandia, and the University of Utah. He is an active member of the research community, has participated in more than 100 international program committees, served on the editorial boards of multiple journals, including the IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Spatial Algorithms and Systems, and IEEE Transactions on Big Data, and served as general and papers co-chair of a number of conferences, including the IEEE Visualization. Silva's work has received a number of major awards. In 2013, he was elected an Institute of Electrical and Electronics Engineers fellow and in 2014 he won the IEEE Visualization Technical Achievement Award. He helped develop MLB.com's Statcast player tracking system, which won the Alpha Award for Best Analytics Innovation/Technology at the 2015 MIT Sloan Sports Analytics Conference. In 2015, he was elected Chair of the IEEE Technical Committee on Visualization and Computer Graphics.

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