Zhen Dong is an assistant professor and research scientist with eight years of experience at the intersection of large language model post-training and efficient AI, currently holding roles at UC Santa Barbara and NVIDIA. Trained at Peking University (BS EECS) and Berkeley (PhD, BAIR), his work spans AI agents, efficient MLLMs, video generation, and embodied AI, with a track record from founding a startup (Nexusflow) to research positions at ByteDance, Meta, and NVIDIA. He blends deep academic rigor with product-minded research—moving ideas from PhD-level innovation at BAIR to real-world impact via industry collaborations and a startup that became part of NVIDIA. Based in Menlo Park, he publishes actively (see Google Scholar) and emphasizes efficiency and embodied modalities, suggesting a practical focus on making large multimodal models usable at scale.
8 years of coding experience
5 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of California, Berkeley
Bachelor of Science - BS EECS, Bachelor of Science - BS EECS at Peking University
Contributions:18 commits, 20 pushes, 1 branch in 15 days
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