Lele Chen is a research scientist with nine years of experience bridging academic rigor and industry impact in multimodal AI and 3D human modeling. Currently on the Llama image multimodal team at Meta MSL, Lele previously led research on audio-visual learning, GANs, egocentric video understanding and realistic 2D/3D body and face generation at SonyAI and InnoPeak. A University of Rochester PhD candidate trained under Prof. Chenling Xu, Lele has contributed to high-profile applied research including codec avatars and multiple ECCV/SIGGRAPH/CVPR publications from internships and collaborations. Comfortable moving ideas from papers to prototypes, Lele combines deep theoretical grounding with practical system-building experience across industry labs and research internships. Colleagues note a consistent pattern of producing publication-grade results while shipping novel generative and vision systems in production-oriented settings.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Donghua University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Rochester
Bachelor’s Degree Informatics, Bachelor’s Degree Informatics at Reutlingen University
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