CV
Short Biography
Cláudio T. Silva is an Institute Professor of Computer Science and Engineering at NYU Tandon School of Engineering and a Professor of Data Science at the NYU Center for Data Science. He is also affiliated with the Courant Institute and the Center for Urban Science and Progress (CUSP), which he helped co-found. His research focuses on data science, visualization, graphics, and urban computing. He has published over 300 papers, including more than 20 best paper awards. Dr. Silva is a Fellow of the ACM and IEEE. His honors include the 2014 IEEE Visualization Technical Achievement Award, induction into the IEEE Visualization Academy (2019), and a 2018 Technology & Engineering Emmy Award as part of the MLB Statcast team. He has advised over 50 students and postdoctoral fellows and is a past Chair of the IEEE Technical Committee on Visualization and Computer Graphics. He holds a PhD in computer science from SUNY-Stony Brook.
Education
- Ph.D., Computer Science, State University of New York at Stony Brook, 1996
- M.S., Computer Science, State University of New York at Stony Brook, 1993
- B.S., Mathematics, Universidade Federal do Ceara (Brazil), 1990
Professional Experience
- Professor, New York University, 2011-Present
- Visiting Professor/Researcher, Institut National de Recherche en Informatique et en Automatique (INRIA), AVIZ Research Team, 2018-2019
- Technology Consultant, Major League Baseball (MLB) Advanced Media, 2012-2017
- Professor, University of Utah, 2003-2011
- Faculty Scholar, Lawrence Livermore National Laboratory, 2003
- Member of Technical Staff, AT&T Labs-Research, 1999-2002
- Research Staff Member, IBM Research, 1997-1999
Select Awards and Honors
- ACM Fellow, 2024
- IEEE VIS 2023 Test of Time Award for the TaxiVis paper
- IEEE Visualization Academy, 2019
- Chair of IEEE Technical Committee on Visualization and Computer Graphics, 2015–2018
- Technology & Engineering Emmy Award for MLB Advanced Media’s Statcast player tracking system, National Academy of Television Arts & Sciences (NATAS), 2017. Listed as “A Three Dimensional Doppler Radar System to Track and Display Fast Moving Pitched and Hit Balls”.
- IEEE VGTC Visualization Technical Achievement Award, 2014
- IEEE Fellow, 2013