Nicholas Sharp
Scholar

Nicholas Sharp

Google Scholar ID: K7CRPucAAAAJ
Senior Research Scientist, NVIDIA
geometry processinggeometric machine learningcomputer vision & graphics
Citations & Impact
All-time
Citations
1,659
 
H-index
20
 
i10-index
23
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Publications: 'Design for Descent: What Makes a Shape Grammar Easy to Optimize?' (SIGGRAPH Asia 2025), 'The Affine Heat Method' (SGP 2025), etc.; Awards: 'Adaptive Shells' recognized as Best Paper @ SIGGRAPH Asia 2023, 'Spelunking the Deep' recognized as Best Paper @ SIGGRAPH 2022, 'Polyscope' recognized with the Software Award @ SGP 2022.
Research Experience
  • Currently a Senior Research Scientist at NVIDIA, based out of Seattle, WA. Previously, he was a postdoc with Alec Jacobson at UofT.
Education
  • PhD in Computer Science from Carnegie Mellon University, advised by Keenan Crane; Postdoc at the University of Toronto DGP, with Alec Jacobson; Undergraduate at Virginia Tech, worked with T.M. Murali on computational systems biology, and was active in competitive programming.
Background
  • A researcher in geometry processing, computer graphics/vision, and 3D machine learning. His work seeks new algorithms and representations to make computing with geometric data easy, efficient, and reliable.
Miscellany
  • Interests: long-distance running, hockey, and cooking.