Summary
Shengyi Qian is a Research Scientist at Meta FAIR specializing in multimodal embodied AI for 3D scenes and robotics, combining a decade of research experience with hands-on systems work. He completed a CS PhD at the University of Michigan after dual B.S.E. degrees from UMich and Shanghai Jiao Tong University, and has interned at top labs including NVIDIA Robotics, AWS, and Meta FAIR. His work sits at the intersection of computer vision, NLP, and robotics, driven by practical experiments in real-world 3D environments rather than purely theoretical models. Comfortable moving between academic rigor and applied engineering, he often collaborates with leading researchers like David Fouhey, Joyce Chai, and Dieter Fox. Based in Seattle, Shengyi brings a strong track record of translating multimodal research into embodied agent capabilities that operate in complex physical scenes.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Michigan
Bachelor of Science in Engineering (B.S.E.), Electrical and Computer Engineering, Bachelor of Science in Engineering (B.S.E.), Electrical and Computer Engineering at Shanghai Jiao Tong University
Chinese, English