Jian Meng is a research scientist based in New York with eight years of experience at the intersection of efficient AI infrastructure and photorealistic telepresence. Currently a Top Mind Research Scientist at Huawei, he focuses on post-training efficiency for large language models, building on prior research roles at Meta and Cornell Tech that explored model compression and high-fidelity telepresence systems. His background blends deep academic training toward a PhD in Electrical Engineering with hands-on systems work—from neuromorphic on-chip sensing to model compression for Codec Avatars—giving him a rare mix of theoretical rigor and practical optimization skills. Jian’s trajectory shows a consistent emphasis on squeezing performance from models and hardware alike, and he is comfortable translating research prototypes into engineering-ready solutions. He maintains a public portfolio with additional details on his personal website.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD (Transferred) Electrical and Electronics Engineering, Doctor of Philosophy - PhD (Transferred) Electrical and Electronics Engineering at Arizona State University
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Portland State University
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Cornell University
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