Summary
Longhua Wu is an applied research scientist based in the San Francisco Bay Area with a decade of experience bridging computer graphics, optimization, and machine learning. Currently a PhD candidate and researcher at Meta, he specializes in real-time physically based simulation and ML-accelerated techniques for deformable bodies and cloth. His trajectory includes internships and research roles at ByteDance, Facebook/Oculus, and the Chinese Academy of Sciences, where he built robust motion-tracking and eye-reconstruction pipelines for production-adjacent systems. Longhua combines deep academic rigor from Ohio State and Wuhan University with hands-on engineering that scales to industry problems, routinely leveraging parallel acceleration for high-performance solutions. Colleagues value his ability to move ideas from SIGGRAPH-grade research prototypes into practical, real-time implementations.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Wuhan University
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at The Ohio State University
Chinese, English