Huan Ling is a research scientist at NVIDIA with a decade of experience at the intersection of computer vision and machine learning, grounded in a strong academic background from the University of Toronto. He has driven impactful research from internships to production-facing projects, including work on Polygon-RNN++ for interactive segmentation (CVPR 2018) and adversarial contrastive methods (ACL 2018). Huan combines research rigor with practical engineering—having built open-source demos and production prototypes—and has collaborated closely with leading labs like Vector Institute and Borealis AI. His background also spans quantitative systems, with prior experience building portfolio analytics at CPPIB, reflecting an ability to translate advanced models into large-scale, production-relevant systems.
10 years of coding experience
1 year of employment as a software developer
Grad Student Artificial Intelligence, Grad Student Artificial Intelligence at University of Toronto
Contributions:2 commits, 1 PR, 2 pushes in 1 month
to-dobackground-videoplay-videovideomvc
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