Summary
Yiqing Liang is a research scientist and tech lead at Luma AI with eight years of experience building models that understand and generate the visual world, currently steering the Manga project and contributing to Uni-1, Luma’s unified multimodal model. She earned a PhD in Computer Science from Brown University studying dynamic scene modeling from monocular video, after an MS at Columbia focused on embodied AI and vision-language reasoning. Her work spans 3D/4D reconstruction, multimodal learning, and world models, and has been published at ICLR, CVPR, ICCV and TMLR, earning a CVPR 2025 Oral and MIT EECS Rising Stars 2025 recognition. Yiqing has industry research experience at NVIDIA and Meta Reality Labs and a history at top academic labs and companies in China and the U.S., blending rigorous theory with production-minded systems design. Colleagues value her for translating novel research into scalable model components and leading cross-functional efforts to bring generation and understanding models together.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brown University
Physics, Physics at High School Affiliated to Fudan University
Special Student, EECS, Special Student, EECS at Massachusetts Institute of Technology
Bachelor of Science - BS, Computer Science and Technology, Bachelor of Science - BS, Computer Science and Technology at Fudan University
Master's degree, Computer Science, Master's degree, Computer Science at Columbia University