Scholar
Claudio T. Silva
Google Scholar ID: YIwiAAsAAAAJ
New York University
Citations & Impact
Citations
10,125
H-index
46
i10-index
162
Publications
20
Co-authors
182
list available
Resume (English only)
Academic Achievements
- ACM Fellow (2024), IEEE Fellow (2013)
- Recipient of the IEEE Visualization Technical Achievement Award
- Chair of IEEE Technical Committee on Visualization and Computer Graphics (2015–2018)
- Statcast system received a 2018 Technology & Engineering Emmy Award from NATAS
- Work featured in The New York Times, The Economist, Smithsonian Magazine, ESPN, etc.
- Research funded by NSF, DARPA, ARPA-H, NIH, NASA, DoE, DoD, Moore-Sloan, Capital One, MLB, NVIDIA, IBM, Adobe, and others
- OpenSpace deployed in 17+ planetariums worldwide for NASA mission visualization and public outreach
- OSCUR developing open-source cyberinfrastructure for urban data analysis on climate, walkability, bikeability, and accessibility
Research Experience
- Previously at the Scientific Computing and Imaging (SCI) Institute, University of Utah, before joining NYU in 2011
- Co-founder of NYU’s Center for Data Science (CDS) and Center for Urban Science and Progress (CUSP)
- Currently Co-Director of the Visualization, Imaging and Data Analysis (VIDA) Center
- Affiliated with ai@nyu
- Longstanding mentor to PhD/MSc students, postdocs, and fellows
- Senior technology consultant for MLB Advanced Media’s Statcast system (2012–2017)
- Leads major projects including OpenSpace (NASA-funded) and OSCUR (NSF-funded)
Background
- Institute Professor of Computer Science and Data Science at New York University
- Born in Brazil, lived in the United States for over 30 years, bringing a global perspective
- Broad and interdisciplinary research interests: visualization, visual analytics, machine learning, reproducibility and provenance, geometric computing, urban computing, computer graphics, and computer vision
- Enjoys interdisciplinary collaborations with paleontologists, urban scientists, and sports scientists
- Passionate about building practical tools that empower others to advance research and solve real-world problems
