Nicholas Sharp is a Fields Institute Postdoctoral Fellow at the University of Toronto, and an affiliate at the Vector Institute. He recently completed his PhD in Computer Science at Carnegie Mellon University where he was supported by an NSF Fellowship. His PhD thesis laid new foundations for geometry processing with intrinsic triangulations. More broadly, his research designs new algorithms and data structures for 3D data, with applications in computer graphics, vision, and 3D machine learning.
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