Jing Yang
Ph.D. Research Internship at NVIDIA
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJing Yang is a computer graphics researcher and Ph.D. candidate with eight years of experience focused on human-body reconstruction, tracking, rigging, and neural rendering. She has held research internships at NVIDIA, Dolby, and TikTok and contributed to USC ICT projects spanning relightable volumetric capture, polarized reflectance fields, and generative material authoring. Her work blends computer vision, image processing, and physically-based neural rendering to enable practical pipelines—e.g., building 3DMM-aligned datasets for neural rendering from single images. As author of Paper Copilot, she also demonstrates a strong interest in making research tools broadly accessible, reaching a global user base. Based in Los Angeles, she combines rigorous academic training with hands-on system-building across industry and academia. A not-obvious strength is her experience delivering end-to-end pipelines that move textured 3D capture data from raw sensor inputs to production-ready neural renderers.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Guangdong University of Foreign StudiesYonsei University
English, Chinese, Japanese, Korean
Github Skills (92)
python10
ply10
cgal10
boolean10
deep-learning10
visual-studio10
gpu10
computational-geometry10
cpp10
gpu-acceleration10
mesh-processing10
polygons10
mesh10
polygon10
acceleration10
Programming languages (9)
Github contributions (5)
jingyangcarl/CSCI571
Jan 2020 - May 2020
Contributions:186 commits in 3 months
jingyangcarl/RealSenseD415Calibration
Nov 2019 - Dec 2019
Contributions:18 commits in 1 month
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