Bo-Ru Lu is an Applied Scientist based in Seattle with 11 years of experience and a Ph.D. in NLP from the University of Washington, where he focused on dialogue synthesis, structure learning, and model efficiency. He develops conversational and multimodal LLM systems in industry roles at Amazon and has interned on multimodal and intent-discovery projects at Google, Microsoft, and Apple. His work bridges research and production: improving dialogue systems via data synthesis and efficiency techniques and extending LLMs to handle text, audio, and images. Notably, he has collaborated with leading researchers across academia and industry, bringing rigor from UWNLP into deployable solutions.
Contributions:15 pushes, 1 branch in 4 years 10 months
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