Claudio Silva

Claudio Silva


Cláudio Silva is a professor of computer science and engineering and data science at New York University. His primary research interests are in visualization, geometric computing, data science, sports analytics, and urban computing. He received a BS in mathematics from the Federal University of Ceará (Brazil) in 1990, and a PhD in computer science from State University of New York at Stony Brook in 1996. He was also a postdoc in applied mathematics at Stony Brook in 1996-7.

He has held positions in academia and industry, including at AT&T, IBM, Lawrence Livermore, Sandia, and the University of Utah. Cláudio has made contributions to visualization and graphics, notably in the areas of point-based modeling, surface reconstruction, isosurface generation, out-of-core and streaming techniques, visibility computations, volume rendering, and urban data visualization. Having participated in interdisciplinary projects, his work has had impact in multiple scientific domains. Cláudio has advised 15 PhD and 8 MS students, and mentored 6 post-doctoral associates; he currently advises over 8 PhD and MS students. He has published over 200 journal and conference papers, is an inventor of 12 US patents, and co-authored 12 papers that have received “Best Paper Awards” (including honorable mention) in visualization and geometric computing conferences. He has over 9,900 citations according to Google Scholar. He is an IEEE Fellow and was the recipient of the 2014 Visualization Technical Achievement Award “in recognition of seminal advances in geometric computing for visualization and for contributions to the development of the VisTrails data exploration system.”

Cláudio Silva is an active member of the research community, having participated in more than 100 IPC committees and served on the editorial boards of several journals, including IEEE Transactions on Big Data, ACM Transactions on Spatial Algorithms and Systems, Computer Graphics Forum, The Visual Computer, Graphical Models, Computer and Graphics, Computing in Science and Engineering, IEEE Transactions on Visualization and Computer Graphics. He has taken on various organizational roles, including serving as conference co-chair for IEEE VIS 2010, and paper co-chair for VIS 2005 and VIS 2006.

Cláudio has strong interest in bridging the gap between academia and industry, and he has contributed to large-scale technology projects. UV-CDAT, a novel climate data analysis tool that he helped built, won the 2015 Federal Laboratory Consortium Interagency Partnership Award. He is part of the research and development team for Major League Baseball (MLB)'s Statcast player tracking system, which won the Alpha Award for Best Analytics Innovation/Technology at the 2015 MIT Sloan Sports Analytics Conference. In urban computing, he has made contributions to interactive data tools to analyze complex spatial-temporal urban data. TaxiVis, a tool developed in his group, is currently being used at the NYC Department of Transportation and the Taxi and Limousine Commission (TLC).

Cláudio’s research has been funded by NSF, DOE, NIH, DOD, AT&T, IBM, ExxonMobil, MLBAM, Moore Foundation, Sloan Foundation, LLNL, Sandia, Los Alamos, State of Utah, University of Utah, Center for Urban Science and Progress, and New York University.