Summary
Hanyuan Xiao is a PhD candidate and AI Scholar specializing in 3D generative models, interactive neural representations, and neural rendering, with an expected graduation in May 2026 from USC’s Vision & Graphics Lab. With eight years of experience spanning academia and industry, he has prototyped a CARLA-Unreal simulation pipeline for robust tracking and law-enforcement scenarios and developed a patented NeRF-based system for deformable clothed human capture that renders 4K on a consumer GPU. He combines deep research skills with practical systems engineering—C++/Unreal tooling, simulation integration, and GPU-aware neural pipelines—bridging novel algorithms and production-ready implementations. Based in Los Angeles, he also has a strong teaching background across AI and core CS courses, reflecting clear communication of complex ideas to diverse audiences.
8 years of coding experience
Doctor's Degree Computer Science, Doctor's Degree Computer Science at University of Southern California
Bachelor of Science Electrical and Electronics Engineering, Bachelor of Science Electrical and Electronics Engineering at Rensselaer Polytechnic Institute
French, English, Chinese