Daiqing Li is a principal AI scientist with 11 years of experience building foundation models for spatial and visual creation, currently leading 3D foundation model efforts at Roblox and previously heading research at Playground where his open-source text-to-image models achieved state-of-the-art aesthetic quality and alignment. He spent five impactful years at NVIDIA Research contributing to high-profile papers on generative 3D shape modeling, image backbone pretraining, and semantic image editing, and has a strong track record of turning research into reproducible systems. Daiqing combines deep academic rigor from the University of Toronto ecosystem with pragmatic engineering—having built production data pipelines early in his career at Amazon—and is known for improving text-image consistency beyond major baselines like DALLE-3 and SD3. Colleagues praise him for bridging generative model theory with scalable implementations, and his work often surfaces in both technical reports and widely cited conference publications.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science - BASc Computer Engineering, Bachelor of Applied Science - BASc Computer Engineering at University of Toronto
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