ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
Cited
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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.